bluuebunny/crossref_metadata_2025 huggingface dataset:
Market Size estimation of Domestic Apparel Retail in India using Predictive Analytics
Authors: Senapati Kalipada , Chattopadhyay Ayan , Chakrabarty Ranajit
Published: August 2022

The ensuing research aims at estimating the future market size of domestic Indian apparel industry. The study is based on secondary data and uses longitudinal study design. Univariate time series data is used in this study and annual retail sales data, collected from reliable secondary sources, for the period 2000 to 2019 forms the basis of generating predictive models. Owing to the available number of observations in the dataset, the researchers have considered Holt’s exponential smoothing method for the purpose of model generation and making forecasts. The absence of seasonal component in the time series data suggests the use of double exponential smoothing technique which includes effects of trend only. The analysis begins with the forecast of nineteen years with various combination of the coefficients, namely, α and β values and then deviation computed from the actual data. The deviation or the error estimates, namely MSE, MAPE, and MAD have been used to identify the best model in the present research study. The paper concludes with the actual forecasts for the next three years, 2020 till 2022 using the best model, i.e. the model which has resulted in minimum error. To the best of the knowledge of the researchers, this present study makes a maiden attempt to use Holt`s method at an individual level to predict the future market size of the second largest retail industry in India. Apart from the scholarly contribution, the researchers anticipate this study outcome likely to act as an aid to the apparel marketers for their future planning.
Research on Enterprise Raw material ordering and Transportation process based on Multi-objective programming and Machine Learning algorithm
Authors: Yao Jiawei , Men Ziwei , Xu Chengyu , Wu Binbing , Zhou Tao , Hu Wenjun
Published: August 2022

This paper analyzes the various production factors that affect the building materials enterprises, including the production cost of the enterprise itself and the degree affected by suppliers and transporters. Then, according to the relevant data, the objective function of minimum production cost is established, and under the premise of ensuring production, a mathematical model is established with the influence degree of each related enterprise as the constraint. In this paper, the model is solved to help enterprises make a reasonable production and management plan. First of all, the random forest algorithm is used as a machine learning method to analyze the characteristics of the given supplier. Then we evaluate the importance of each supplier to the production of the enterprise, and then rank it according to the level of influence, and select the top 20 suppliers. Then three goals are selected based on the multi-objective programming algorithm. First, the cost of production is the lowest, that is, the total cost of purchasing all kinds of materials is the least. Second, the loss is the lowest in the process of material transportation. In this paper, the materials collected are divided into three kinds of ABC, thus it is concluded that increasing the purchase of A material and reducing the purchase of C material. Therefore, a multi-objective programming model is established to solve the ordering and transshipment scheme. Finally, the neural network algorithm is used to evaluate the supplier's supply volume and transshipment loss in the next 24 weeks. The main goal is to maximize the production capacity of the enterprise, without considering the material procurement cost and the purchase demand of An and C materials, but still keep the minimum material transfer loss. In this paper, the weight analysis and multi-objective programming algorithm around the ordering and transportation process based on the principle of production enterprises can effectively provide reliable reference analysis for this process that needs to be optimized.
Study on Migration Path of Climate Refugees Based on Grey Prediction and Analytic Hierarchy Process
Authors: Wang Taiyu , Spaeth Stephanie Sue Caballero
Published: August 2022

Earth is undergoing climate changes that are affecting our environment. Some of these changes are easy to adjust to, however, some changes of the climate are severe and require immediate drastic solutions. In this paper, we present a solution to dangers posed by rising sea levels in the Maldives. It is a tropical paradise, but it is vulnerable to storms and tsunamis, and due to slowly rising sea levels it could one day disappear completely! The Maldivians will eventually need to migrate to higher ground somewhere. First, we identify the metrics that will influence the process of the transfer of EDPs, while enabling the preservation of culture and language. Then we establish a grey prediction model to predict future changes in population, and identify when the chosen host country will be completely unfit for human habitation. Next we use the Analytic Hierarchy Process combining with the objective situation and subjective thoughts of EDPs to determine the relationship between factors represented by each variable. Finally, we propose policies considerate of all the possibilities so as to maximize the benefits for all involved parties.
Effect of Two Ergonomic Designs for Shuttlecock Buckets
Authors: Gao Jiazheng
Published: August 2022

Shuttlecocks serve as one of the necessary sporting equipment to play badminton. The standard Shuttlecock buckets sold on the market are equipped with a total of 12 Shuttlecocks and the bucket body is long, which makes it time-consuming to pick up and causes palmar flexion and other usage problems. In view of this, the two brand-new designed shuttlecock buckets are introduced. This research aims to compare traditional shuttlecock buckets with two kinds of new buckets in order to find out whether they can provide users with a better experience. The experiment was evaluated by measuring wrist flexion angle and user pickup time and adopting a subjective questionnaire. The result indicated that the two new designed buckets are superior to the traditional buckets due to that they can help reduce wrist flexion angle and improve ball pick up efficiency. All in all, this study helps manufacturers to design and produce more reasonable shuttlecock buckets as it provides a new perspective on shuttlecock buckets design.
Research on the Factors Influencing the Strength of Cyclists
Authors: Ji Dashuang , Ji Xiaoshuang
Published: August 2022

Individual Time Trial (ITT) is a road bicycle race where cyclists race alone against the clock. To minimize the total time cost, cyclists need to focus on the output power. In this paper, we develop models to analyze the output power of cyclists determine how to adjust the output power at every position of the course. Firstly, this article collects the real data of cyclists, which is used to find the power profile related to power and duration. Reasonable expressions of different types of cyclists of different gender are also concluded. Secondly, this article considers the cyclists in competition as a constantly charged battery and discharged. FTP is the power at which cyclists can work steadily for a long time. Therefore, this article uses FTP to represent the recovery rate of cyclists approximately. There is two basis of our model. First, maintaining a steady speed is the key to reducing the total time loss in the time trial. The next basis of our model is to divide the course into three types: uphill, downhill, and sharp turn and do the force analysis. Then, this article builds up a model which tells the cyclists how to adjust output power in the whole time trial. Fatigue is also considered in our model. the model applies to two real Individual Time Trials and one course designed by us and draws the power-distance curve correspondingly. Finally, this article analyzes the potential impact of the wind. The wind will affect the cyclists' air resistance fA. The time cost at every part is calculated to determine the proposed model's accuracy. This article also analyzes the impact of improper power adjustment.
An Optimized Model for the Approximate Iterative Adjustment of the "FAST" Active Reflector
Authors: Zhang Xinyu , Yang Yibo , Han Yuxuan , Hu Yongye , Peng Shengqi , Liu Zihan
Published: August 2022

This paper analyzes the relevant data and finds that the angle formed by the upper endpoint, the lower endpoint, and the main cable node of 2216 groups of actuators is between 179.95° and 180°. Therefore, it is considered that the main cable nodes move mainly in the radial direction, and only a small amount of tangential displacement occurs. Then, mathematical models are established for the radial and tangential displacements, and after several iterations, the coordinates before and after the displacement of the main cable node are obtained. Since the adjustment factors of the reflective panel need to be considered in combination, the reflective panel is easy to adjust. The shortest total telescopic distance of the actuator is the optimization goal, and the optimization model is established with the adjustment factors and other constraints as the constraints.
Sentiment Analysis on Power Rationing Micro Blog Comments Based on SnowNLP-SVM-LDA Model
Authors: Zhou Bingqian , Zhu Yuhan , Mao Xiabing
Published: August 2022

In the context of energy conservation and emission reduction, many places across the country have introduced "power rationing" policies. In order to understand the public's emotional attitude and emotional characteristics of the policy, help government departments to grasp the trend of public opinion and optimize strategic decision-making, this paper proposes a public opinion analysis method based on the SnowNLP-SVM-LDA model. This paper takes micro blog comments on power rationing as the research object, and obtains a total of 5242 micro blog comments through Python collection and data cleaning. Firstly, the word cloud map is drawn for the comment text after Jieba word segmentation, and then the SnowNLP-SVM model is used to classify the sentiment of micro blog comments, and then LDA topic mining is carried out for positive and negative comments respectively.Research shows that most micro blog netizens (69.34% of the total sample) hold a negative attitude towards power cuts. This paper identifies three major topics of national policy, support for the government, and power supply security in positive emotions, and three major topics of people's livelihood issues, rising coal prices, and government work in negative emotions. Through the analysis of this paper, it provides data support and theoretical support for government departments to guide the trend of public opinion and optimize work decisions.
Research on automatic parking based on A* search algorithm
Authors: Wang Guanzhong , Deng Sirui , Tang Xuefeng
Published: August 2022

Automatic parking is one of the most landing scenarios in autonomous driving technology. Automatic parking refers to the automatic parking process of cars in parking lots. In this paper, we consider three parking models under vertical, horizontal and bending conditions. We first establish physical models according to different conditions, introducing A* search algorithm is d as the optimal path selection algorithm for practical cases. We also set up a constrained optimization problem for the situation of car occupancy in the garage. By solving this constraint, we can efficiently calculate the optimal parking path to avoid the situation of car occupancy.
Analysis on Security and Privacy-preserving in Federated Learning
Authors: Li Jipeng , Li Xinyi , Zhang Chenjing
Published: August 2022

Data privacy breaches during the training and implementation of the model are the main challenges that impede the development of artificial intelligence technologies today. Federated Learning has been an effective tool for the protection of privacy. Federated Learning is a distributive machine learning method that trains a non-destructive learning module based on a local training and passage of parameters from participants, with no required direct access to data source. Federated Learning still holds many pitfalls. This paper first introduces the types of federated learning, including horizontal federated learning, vertical federated learning and federated transfer learning, and then analyses the existing security risks of poisoning attacks, adversarial attacks and privacy leaks, with privacy leaks becoming a security risk that cannot be ignored at this stage. This paper also summarizes the corresponding defence measures, from three aspects: Poison attack defence, Privacy Leak Defence, and Defence against attack, respectively. This paper introduces the defence measures taken against some threats faced by federated learning, and finally gives some future research directions.
Research on Communication Site Planning and Regional Clustering Based on Optimal Multivariate Optimization Model
Authors: Chen Yanliang , Pei Haoyan , Pei Yan , Li Tongyan
Published: August 2022

In recent years, in the context of the continuous development of 5G networks, the construction of mobile communication mobile base stations is extremely important for the overall network environment construction in my country. The sites in the objective function are planned multiple times through the immune genetic algorithm, and finally the optimal site is re-planned and the weak coverage points are clustered.
CRISPR-Cas9 for treatment of bipolar disorder caused by gene mutation
Authors: Shi Dexin
Published: August 2022

Bipolar disorder is a highly debilitating psychiatric illness that is associated with great morbidity and extreme mood changes inducing emotional highs（mania) and lows (depression). Scientists have found that bipolar is a kind of complicated mental illness and difficult to fully heal. Bipolar is caused by three main factors, environmental, biological, and genetic factors. Adverse life events and environmental stress events can induce the onset of affective disorder. This bipolar disorder is one of our most heritable psychiatric disorders. It's second only to autism. The patient has abnormal central neurotransmitter metabolism and corresponding receptor function changes, neuroendocrine dysfunction, mainly the hypothalamic-pituitary-adrenal cortex axis, and hypothalamic-pituitary-thyroid axis dysfunction. Based on researches, the gene mutation is one of the pathogenic factors for bipolar disorder, and there is no therapy has been confirmed that can cure bipolar disorder so far. Thanks to the development of biotechnology, microbiologists developed a new technology. Nowadays, we try to cure bipolar disorder by CRISPR. CRISPR is a new microbiology technology by correcting mutation gene and re-editing it to reduce bipolar disorder incidence. Thus, our study provides a basis for studying gene mutation, therapy of bipolar disorder, and CRISPR technology in the future.
Analysis on the growth of fungal population and the interaction between population
Authors: Zeng Yingxin , Zhu Peiting , Hou Zhitian
Published: August 2022

The carbon cycle is an important part of the geochemical cycle of the Earth. As the primary decomposers of organic material in terrestrial ecosystems, fungi are critical agents of the global carbon cycle. Based on the two characteristics of a fungus, the growth rate of the fungus and the fungus’ tolerance to moisture, this article will establish a mathematical model to describe fungi and their role in the decomposition of ground litter (dead plant material) and woody fibers. First of all, the growth rate of a single fungus population was determined by modifying the Logistic population growth model. According to the hyphal extension rate of a fungus comprehensively measured by temperature and humidity changes, the effect of hyphal extension rate on wood decomposition rate is obtained. Next, this article uses the competitive ranking of fungi and the moisture niche width to determine the moisture tolerance of fungi and the influence of fungus moisture tolerance on wood decomposition rate. Integrating the hyphal extension rate and moisture tolerance of fungi, we established a wood decomposition rate model for a single fungus community. Based on this model and Lotka-Volterra model, this paper quantified and described the interaction between different types of fungi, and constructed a model of wood decomposition rate under the interaction of multiple fungal populations. Finally, the sensitivity and stability of the model are analyzed and tested. For the role and importance of biodiversity in the ecosystem, we conducted a more comprehensive study, and analyzed the role and principle of biodiversity in the process of environmental factors change.
Mechanisms and pathogenicity of the PI3K pathway: from basic research to clinical application
Authors: Chen Siyi , Ling Yingying , Li Chenyang
Published: August 2022

PI3K signaling pathway is one of the most important signaling pathways in tumorigenesis. Dysfunction of PI3K signalling pathway has been widely found in lymphatic hematologic tumors and solid tumors. Different PI3K inhibitors have shown anti-tumor activity against a variety of tumors. Furthermore, the FDA has approved various PI3K inhibitors for marketing or clinical studies, and have achieved considerable efficacy, especially in lymphoma and breast cancer. However, drug resistance and treatment-related adverse reactions remain unsolved. The PI3K signaling pathway also involves several other physiological functions related signaling pathway networks, and the combination therapy of selective inhibition of these signaling pathways needs to be further explored. New strategies include the combination of allosteric inhibitors and orthosteric inhibitors of PI3Kα and the development of inhibitors of salvage mutation sites. This review summarizes the clinical research progress and common drug resistance mechanisms of various common malignancies involved in PI3K inhibitors. In addition to targeting cancer cells, PI3K inhibitors also have great potential in cancer immunotherapy in the future.
Research on the correlation between intestinal microecology and leukemia
Authors: Huang Hai
Published: August 2022

Intestinal microecology is the largest and most complex microecological community in the human body and is closely related to human health. About 20% of malignancies are associated with microecological dysbiosis. The gut microbiota of patients with leukemia is significantly different from that of the healthy population. The intestinal flora can be involved in the development and progression of leukemia in many ways through regulation of immune cells, stimulation of inflammation, infection by pathogenic bacteria, action of metabolites, influence of body metabolism and genetic mutations. Chemotherapy, allogeneic hematopoietic stem cell transplantation and chimeric antigen receptor T-cell immunotherapy can cause intestinal flora disorders in leukemia patients, and probiotic therapy can reduce the complications associated with the treatment process. The intestinal microecological stability is beneficial to the treatment of leukemia patients, therefore, the in-depth exploration of methods to maintain the intestinal microecological balance is important for the prolongation of survival of leukemia patients.
Recenti controversie sulla giurisdizione territoriale nell’Ortodossia: l’esarcato moscovita per l’Africa
Authors: Parlato Vittorio
Published: August 2022

SOMMARIO: 1. Il tema - 2. L’attività ecclesiale di Costantinopoli nella diaspora - 3. Azione pastorale nella diaspora rivendicata da alcune Chiese - 4. Controversie in materia di giurisdizione episcopale - 5. L’esarcato moscovita per l’Africa - 6. Il ruolo del patriarcato ecumenico e del patriarcato moscovita nell’odierna ortodossia - Appendice.

Recent disputes on territorial jurisdiction in Orthodoxy: the Exarchate Moscow for Africa

ABSTRACT: The pastoral activity of Constantinople and other autocephalous churches in the diaspora. The consequent controversies on the episcopal jurisdiction. The Moscovite Exarchate for Africa. The role of the Moscow patriarchate in today's Orthodoxy.
Misurare lo stress psico-fisico del caregiver di pazienti cronici: risultati di uno studio
Authors: Ardizzone Francesca
Published: August 2022

INTRODUZIONE: Il carico dei caregiver è associato a un peggioramento della loro qualità di vita: aumentato rischio d'insorgenza di malattie cardiovascolari, ipertensione arteriosa, depressione e disturbi d'ansia vengono riportati in letteratura. Ad un aumento del carico assistenziale del caregiver è associata anche una precoce istituzionalizzazione del familiare.
OBIETTIVI: Misurare i livelli di burden in un campione dei caregiver informali di pazienti cronici attraverso la creazione e validazione di una versione italiana modificata del Caregiver Strain Index.
METODI: Lo studio ha previsto la traduzione e modifica del Caregiver Strain Index, in seguito somministrato ad un campione di convenienza di caregivers informali di pazienti cronici arruolato nei poliambulatori di un singolo centro ospedaliero.
RISULTATI La scala ha un’ottima validità di contenuto (CVI-S=0.95) e di facciata e una buona consistenza interna (α di Cronbach=0.78). Il 75% del campione presenta una situazione di burden eccessivo (Me =8, IQR = [7; 9] cutoff 8). Valori più alti sono riportati nelle donne, nei soggetti con licenza media-inferiore e laurea, nei caregiver conviventi, in quelli che assistono più persone e in quelli i cui assistiti sono affetti da Parkinson (p<0.05 per tutte le variabili).
Conclusioni: La versione italiana modificata del Caregiver Strain Index è uno strumento valido, affidabile, veloce e di semplice utilizzo capace di valutare i livelli di burden nei caregivers che assistono i pazienti cronici. Gli alti livelli di burden riferiti rivelano la necessità della figura dell’infermiere case manager per la continuità assistenziale al domicilio.
Cumulospora mangrovei – A new species of Hyphomycete from the mangroves of Nethravathi, Southwest India
Authors: Karamchand K. , Sridhar K.
Published: August 2022

The current study describnes a new anamoraph species Cumulospora mangrovei grown as decomposing entuarine sedge Cyperus malaccensis Lam. at the Nethravathi mangroveb near Mangalore, Karnataka.
The Using of Bilingual to Write A Visual Identity of Product Labels EFL Economic Students
Authors: Umar Umar , Purwadinata Subhan
Published: August 2022

This study aims to examine the use of bilinguals (local language and English) in writing visual identities on SME product labels for students of the Faculty of Economics. The research problems were; 1) how does the perception of students relates to bilingual teaching materials; and 2) how does the effect of bilingual teaching materials on a visual identity of product labels to enhance students’ English writing? The study was a quantitative descriptive study with pre-test and post-test designs. The data were analyzed using the Statistical Package for Social Sciences (SPSS) 26.0, which was followed by qualitative interpretation. Data from the questionnaire deployed numerical calculation of the percentage, while data from the written test were presented quantitatively. Findings of the study revealed that students' perceptions of bilingual have very good criteria to improve students' writing skills (Indicator-A: SA = 40% + A = 50% = 90%; Indicator-B: SA = 40% + A = 50% = 90%, Indicator-C: SA = 60% + A = 40% = 100%, and Indicator-D: SA = 50% + A = 50% = 100%), and have a significant effect on students’ English writing ability (sig. (2-tailed) 0.000 <0.05, and the t-count value of 7.726> t-table 2.09302).
Hubungan Pendidikan Kewirausahaan terhadap Motivasi Berwirausaha Mahasiswa Maritim di Masa Pandemi Covid 19
Authors: Sirait Evi , Setyoningrum Ari Ani Dyah
Published: August 2022

Pendemi covid 19 memberikan pembelajaran yang sangat berharga teurtama bagi mahasiswa untuk melakukan terobosan dalam berwirausaha. Berwirausaha memberikan peluang untuk mendapatkan penghasilan yang lebih besar dari pada menjadi karyawan perusahaan. Dalam kajian ini, pendidikan kewirausahaan juga mempengaruhi motivasi mahasiswa dalam berwirausaha. Sikap mental kewirausahaan pada siswa dapat ditanamkan melalui pendidikan kewirausahaan berdasarkan nilai-nilai kewirausahaan. Tujuan dalam penelitian ini adalah untuk menganalisa pengaruh pendidikan kewirausahaan terhadap motivasi mahasiswa kemaritiman dalam berwirausaha di masa pendemi covid 19. Desain penelitian ini menggunakan metode penelitian kuantatif. Teknik pengambilan data dilakukan dengan wawancara dan kuesioner. Teknik analisis yang digunakan dalam penelitian ini adalah dengan statistik deskriptif. Alat analisis yang digunakan adalah software SmartPLS versi 3.0. Hasil penelitian ini menunjukkan bahwa pendidikan kewirausahaan berpengaruh positif signifikan terhadap motivasi berwirausaha mahasiswa kemaritiman di masa pendemi covid 19.
Dampak Pengembangan Desa Wisata Kampung Patin terhadap Perekonomian Masyarakat Lokal di Desa Koto Mesjid, Kecamatan XIII Koto Kampar
Authors: Maryantina Maryantina , Agustiani Aulia
Published: August 2022

Penelitian ini dilaksanakan di Desa Wisata Kampung Patin, Desa Koto Mesjid Kec. XIII Koto Kampar dengan untuk mengetahui dampak pengembangan pariwisata terhadap perekonomian masyarakat lokal di Desa Wisata kampung Patin, Desa Koto Mesjid Kec. XIII Koto Kampar, pada bulan Maret sampai Bulan September 2021 Penelitian ini menggunakan metode penelitian analisis deskriptif. Berdasarkan hasil penelitian bahwa pengembangan Pariwisata di Desa Wisata Kampung Patin mengalami peningkatan. Upaya pengembangan ODTW di Desa Kampung Patin dilakukan dengan melakukan pembukaan obyek wisata yang digunakan untuk membuat pengunjung memiliki pilihan objek wisata.  Saat ini yang sedang ramai diperbincangkan adalah objek wisata Puncak kompe, Sungai Gagak dan Air Terjun Lembah Aman. Dimana pembukaan tujuan wisata baru ini sudah memenuhi syaratnya antara lain; something to see dengan menyuguhkan keindahan alam, peninggalan prasejarah, seni budaya. Syarat selanjutnya yaitu something to do juga telah terpenuhi mengingat pengunjung dapat melakukan camping, spot selfie, tracking dan syarat terakhir yaitu something to buy telah dipenuhi dengan adanya penjual kuliner dan dan souvenir di Desa Wisata Kampung Patin. Serta dapat disimpulkan bahwa pengembangan Desa Wisata Kampung Patin memberikan dampak terhadap perekonomian Masyarakat lokal Desa Koto Mesjid. Dengan adanya pengembangan desa wisata, dapat meningkatkan pendapatan masyarakat dari yang berpenghasilan dikisaran Rp. ? Rp.500.000 – ? Rp. 1.000.000 per bulan, meningkat menjadi Rp. ? Rp.2.500.000 – ? Rp. 4.000.000 per bulan . Sektor pariwisata ini dapat meningkatkan ekonomi, memberi lapangan usaha dan penyerapan tenaga kerja bagi masyarakat setempat.
The End of Growth? Fading Prospects for Latter-day Saint Expansion
Authors: Stewart David
Published: August 2022

The Church of Jesus Christ of Latter-day Saints faces diminished prospects for growth in the twenty-first century due to both institutional and societal factors. Growth rates in congregations and active membership averaged below one percent annually from 2009–2019. Fertility, retention of member children, and new conversions have experienced ongoing declines. Institutional decisions that were once adaptive have become liabilities hindering growth and internationalization. The dichotomy between the Mormon “homeland” and the “mission field” has fueled asymmetric information, misaligned incentives, principal-agent problems, and a culture of nonparticipation in personal evangelism by leaders and members. Reforms have sent mixed messages without resolving underlying pathologies. Societal conditions are decidedly less favorable for LDS growth than in the late twentieth century. The human rights situation has deteriorated worldwide, Christianity is experiencing proportional decline in most world regions, and prospects for mission outreach in unreached nations are dim. Medium-term growth in active LDS membership and congregations is likely to average below one percent annually. Over longer periods, losses may occur. The faith experiences its brightest prospects in Africa, where it is likely to achieve active growth. The LDS Church has lost its competitive advantages and is likely to continue to underperform its major competitors.
A 7T SECURITY ORIENTED SRAM BITCELL USING VLSI
Authors: Tejaswi C.Durga
Published: August 2022

Power analysis (PA) attacks have become a serious threat to security systems by enabling secret data extraction through the analysis of the current consumed by the power supply of the system. Embedded memories, often implemented with six-transistor (6T) static random access memory (SRAM) cells, serve as a key component in many of these systems. However, conventional SRAM cells are prone to side-channel power analysis attacks due to the correlation between their current characteristics and written data. To provide resiliency to these types of attacks, we propose a security-oriented 7T SRAM cell, which incorporates an additional transistor to the original 6T SRAM implementation and a two-phase write operation, which significantly reduces the correlation between the stored data and the power consumption during write operations. The proposed 7T SRAM cell was implemented in a 28 nm technology and demonstrates over 1000× lower write energy standard deviation between write ‘1’ and ‘0’ operations compared to a conventional 6T SRAM. In addition, the proposed cell has a 39%–53% write energy reduction and a 19%–38% reduced write delay compared to other power analysis resistant SRAM cells. Key Words: Power Analysis, SRAM Design, 6T SRAM, 7T SRAM, Power Dissipation Software Tools:  Tanner eda Tool
LUNG CANCER DETECTION BY USING FUZZY CLUSTERING METHODS & MACHINE LEARNING TECHNIQUES
Authors: S Divya
Published: August 2022

Cancer is a disease where cancerous cells grow out of control, taking over normal cells and organs in the body. Lung Cancer is the uncontrollable formation of the malignant cells in the lungs. The early detection of lung cancer is the most effective way to decrease the mortality rate. However, in this paper, to obtain an exact boundary of the regions, every empirical dispersion of the image is computed by Fuzzy C-Means Clustering segmentation. A classification process based on the Support Vector Machine (SVM), a machine learning classifier is accomplished to distinguish the normal tissue and the abnormal tissue. The experimental evaluation is done using the lung database collected from kaggle portal. Software Tool: Key Words: Lung cancer, Fuzzy clustering segmentation, Support vector machine, Machine learning.
PENGENALAN STRATEGI PEMASARAN PADA PRODUK DAUR ULANG DI PAMULANG TANGERANG SELATAN
Authors: Rodhiah  , Wijaya Yefta Leonardi Agusta , Bakti Kevin Karunia
Published: August 2022

This activity aims to help business owners introduce marketing strategies to recycling businesses in the Pamulang area of South Tangerang which are made from used plasik bottles large and small, then processed into handicraft products such as lamp stamps, aquariums, flower pots and others. This activity was inspired by the problem of partners in terms of marketing recycled products that have been processed. Based on preliminary observations to partners made by coming directly to the owner, the main problem lies in the marketing aspect. This is due to the weak knowledge of partners about marketing strategies. So that the recycled products that have been successfully made cannot be marketed to the maximum, only around the business location. The method offered in this activity is training / socialization on online marketing strategies through Zoom meetings. The results of the activity show that the activity has been carried out properly and runs smoothly, problems that arise in partners can be resolved. So that partners are able to understand about marketing strategies, this is evidenced by the results of evaluating partner answers 100% understanding of the material that has been submitted by the PKM Team leader.
Strategi Pembelajaran Pada Masa Covid-19 di Madrasah Aliyah 7 Bungkal Ponorogo Tahun Pelajaran 2020/2021
Authors: Dardiri Ahmad , Sari Nia Yunia
Published: August 2022

This research is motivated by the spread of the Covid-19 virus in various parts of the world. All sectors were affected. One of them is the education sector. Even though it is currently in the period of the Covid-19 epidemic, learning must continue. Various policies have been taken by the government to support the implementation of learning. Many schools are affected by the current situation. One of them is Madrasah Aliyah Muhammadiyah 7 Bungkal Ponorogo. In the learning process as a teacher, you must have a method or strategy so that the material can be conveyed to students so that the curriculum targets can be completed. This research to determine the impact caused by the presence of covid-19, learning process constraints and learning strategies used by teachers during the Covid-19 epidemic at Madrasah Aliyah Muhammadiyah 7 Bungkal Ponorogo. This research is a research with a qualitative approach. The design of this research is descriptive qualitative. Data collection techniques used in this study include observation, interviews and documentation. To analyze data using data reduction, data presentation and drawing conclusions. The results of this research indicate that the impact of Covid 19 is that learning becomes ineffective. MA Muhammadiyah 7 Bungkal currently uses online and offline learning strategies and collaborates both, or better known as "Blended Learning". The learning constraints during the Covid-19 pandemic at MA Muhammadiyah 7 Bungkal are: in the online learning process many students do not have phones or gadget and data packages so that learning is not optimal. The strategy used by the teacher is inquiry and assignment learning. While the obstacle during offline learning is the reduction in face-to-face hours, which is only 30 minutes per subject. The strategy used is to use an expository strategy or direct delivery with the lecture method. This is done because of the limited time for offline learning and following suggestions from the school.
Recommended Improvements for Online Learning Platforms Based on Users’ Experience in the Sultanate of Oman
Authors: Alkubaisi Ghaith Abdulsattar A. Jabbar , Al-Saifi Nura Said , Al-Shidi Arwa Rashid
Published: August 2022

The Covid-19 pandemic has seen an increasing use of video conferencing software as e-learning platforms. Students and faculty members face many challenges in using these platforms as part of the teaching and learning process, including technical problems. This paper reviews these challenges and offers solutions to improve the experience. A descriptive-analytical approach was used, with the researchers collecting data from the literature and from questionnaires distributed to 32 faculty members and to 104 students of higher education institutions in the Sultanate of Oman. This paper suggests improvements to enhance the experience of e-learning platforms, from the user perspective in the higher Education Institutions-Sultanate of Oman.
VACCINATION APPLICATIONS FROM THE PERSPECTIVE OF COVID-19 IN CHILDREN AND THE ROLE OF HEALTHCARE PROFESSIONALS SICK A TRADITIONAL REVIEW
Authors: TANRIKULU Gözdenur , KÜÇÜKOĞLU Sibel , Taş ARSLAN Fatma
Published: August 2022

Covid-19 has emerged as a serious public health emergency and has started a process that requires an urgent response. Although Covid-19 is a disease that causes higher mortality and morbidity in adults, it has been seen to affect children as well. While children play an important role in the transmission of Covid-19 infection and epidemic dynamics, they constitute a key target population for effective measures to control these outbreaks. In this direction, it was concluded that the planning and implementation of Covid-19 vaccines should include children in increasing immunity rates. Due to the fact that the Covid-19 vaccine is new and the trials on children continue, it has been observed that these conditions affect the vaccination intention of the parents. The fact that anti-vaccine and vaccine hesitancy has become an increasing problem all over the world, including in our country, has also affected the rate of Covid-19 vaccination. Healthcare workers play a key role in tackling negative attitudes towards Covid-19 vaccination. Health professionals may have responsibilities such as vaccine development, vaccine information and application, following up-to-date information about vaccine side effects, determining parents' intentions regarding their children's Covid-19 vaccine, and informing parents about Covid-19 vaccines. In this rewiew the Covid-19 pandemic in children, the Covid 19 vaccine applications, the role of parents and healthcare professionals have been compiled.
EXAMINING THE RELATIONSHIP BETWEEN DYADIC ADJUSTMENT AND PSYCHOLOGICAL RESILIENCE BETWEEN HEMODIALYSIS PATIENTS AND THEIR SPOUSES
Authors: Tanrıverdi Ömer , IŞIL Özlem
Published: August 2022

In patients receiving hemodialysis treatment, the physical, mental and psychosocial problems that occur in this process can negatively affect all areas of the individual's life. Healthy communication between couples, harmony between spouses increases compliance and resilience with chronic disease. This relational descriptive study was conducted with 128 hemodialysis patients hospitalized in the dialysis service of 3 public hospitals in the city center of Mardin. The data were collected using a Patient Information Form, the Revised Dyadic Adjustment Scale (RDAS), the Psychological Resilience Scale for Adults (PRSA), number, percentage, mean independent groups t test, One-Way ANOVA, and Pearson Correlation Analysis were used. Patients mean age was 44.74 ± 9.07 and 64.1% were male, 27.3% were primary school graduates, 89.8% did not work, 39.1% were on dialysis more than 6 years, 44.5% were married longer than 21 years. The mean PRSA score was 104.40 ± 22.16, and the RDAS was 48.10 ± 14.57. A strong positive correlation was found between psychological resilience and the dyadic adjustment between couples.
THE EFFECT OF GENDER ROLE ATTITUDES ON THE NUMBER OF CHILDREN AND CHILD GENDER PREFERENCE
Authors: KORUK Fatma , BEYAZGÜL Burcu , KORUK İbrahim
Published: August 2022

Fertility is a biological phenomenon for reproduction, yet it is influenced by cultural and social values. Therefore, to examine health problems related to high fertility in a society, it is necessary to determine the fertility-related behaviors and attitudes of that society. This research was conducted to determine the effect of gender roles attitude on the number of children and child gender preference. The sample of this descriptive study consisted of 101 women who were born and had spent most of their life in Şanlıurfa, who were married and had not yet reached menopause were included in the study. The data were collected by face-to-face interview method through the Data Collection Form and the Gender Roles Attitude Scale. In the study, in terms of gender roles, 8.9% of women had a traditionalist and 91.1% of them had an egalitarian attitude. Also, it was determined that socio-cultural factors such as education, working status, family type and ethnicity affect women's attitudes towards gender role, while gender roles attitudes have an effect on the number of children and gender preferences. According to the research findings, women with traditionalist gender role attitudes had higher number of children and preference for male children.
THE DETERMINATION OF FACTORS AFFECTING MEDICATION ADHERENCE IN PATIENTS WITH SCHIZOPHRENIA: A QUALITATIVE STUDY
Authors: MERİÇ Meltem , ERGÜN Gül
Published: August 2022

Factors related to treatment adherence in patients with schizophrenia have always been key to the treatment of these patients. The aim of this study is to determination of treatment adherence and ıts influencing factors in patients with schizophrenia. This is a descriptive phenomenology study. The research was conducted with 15 patients, between October 2018 and January 2019. Participants in the research were selected by purposive sampling. Data collection was by the face-to-face interview technique. A personal information form and a semi-structured interview form were used to collect data. The mean age of the sample was 44.9 ± 7.2. 80% were male and 53.3% were secondery school graduates. As a result of the coding, 4 themes were determined. It is concluded that the continuation of community mental health centers schizophrenia patients contributes positively to their adaptation. It is important that determination of the affecting factors of treatment adherence by nurses and working with patient to improve treatment adherence.
Telemedicina y navegación de pacientes con cáncer de mama. Un estudio en cuatro hospitales públicos de Argentina
Authors: Schwarz Patricia K. N.
Published: August 2022

El objetivo de este artículo es comprender las prácticas y percepciones de las navegadoras de pacientes con sospecha o diagnóstico de cáncer de mama (CM) en cuatro hospitales públicos argentinos (de región de Cuyo y Provincia de Buenos Aires) respecto del uso de las tecnologías de información y comunicación (TIC) en su tarea cotidiana. En el sistema de navegación de CM, la navegadora acompaña a las pacientes para evitar o superar barreras de acceso a la línea de cuidado del CM, buscando lograr diagnóstico, atención y tratamiento en tiempos óptimos. El abordaje metodológico de la investigación aquí presentada es cualitativo con un diseño descriptivo y exploratorio. Se realizaron entrevistas y observaciones participantes. Entre otros hallazgos, observamos que los déficits estructurales de las TIC en los servicios de salud estudiados obstaculizan el desarrollo de la navegación y refuerzan rechazos y desconfianza a su utilización en las navegadoras estudiadas. A pesar de ello, las TIC se instalan progresivamente en la navegación de pacientes con CM.
Application of the Hungarian Method (Assignment) in Optimizing the Division of Working Hours at CV. Comrade Gemilang's Participation (PKG)
Authors: Survio S Forry Fortuna
Published: August 2022

The purpose of writing "Application of the hungarian method (assignment) in optimizing the division of work hours at CV. Partpresisi Kawan Gemilang (PKG)" is to calculate the assignment problem so that work can be done evenly and minimize losses due to unemployed workers. As well as to streamline the division of tasks so that time is more optimal. With so many requests for brake bolts and components, they are trying to solve the problem with the duration of the process from checking to smoothing being shorter. In order not to delay the time until the refinement time is delayed. Then obtained the results of solving the assignment problem with the Hungarian method Mr. Agus with a small bolt smoothing job, Mr. Susanto with a nut smoothing job, Mr. Yanto with a matic motorbike brake lining job, Mr. Ahmad with a motorbike brake cap smoothing job, Mr. Wardi with a big bolt smoothing job.
Impossible Trinity in a Small Open Economy: A State–Space Model Simulation
Authors: Bhatta Guna Raj , Nepal Rabindra , Jayanthakumaran Kankesu , Harvie Charles
Published: August 2022

Should monetary policy independence be maintained when the exchange rate is fixed under closed capital account conditions in a small open economy? In this study, we simulate the impossible trinity condition during 1989 to 2019 on the Nepalese economy that restricts capital flows and fixes the exchange rate with India. We modify the traditional Taylor rule based on the monetary policy reaction function to characterize Nepal's economic conditions more closely. The state–space model simulation shows that the policy trilemma does not hold in Nepal, such that the model can predict interest rate when the weight for domestic conditions is assigned at a substantially lower level. Therefore, the existing policy mix may need to be revisited to maintain monetary policy independence. Nepal might consider devaluing its currency to neutralize the adverse effects of the negative risk premium and ameliorate the real exchange rate appreciation in the short run and explore alternative arrangements in the long run.
Training Curriculum According to the Pulse Indicator and its Impact on Some Physical and Worn-Out Variables Among Basketball Players
Authors: Shafeeq AbdulMalek Mustafa
Published: August 2022

The legalized training programs that are implemented regularly bring about rapid and regular developments in the physical and skilled competence of the athlete, and reach the goals of the training process, and the success of the program is measured by the progress achieved by the player in the type of activity practice and lies the importance of research through the experimentation of a training curriculum at different times through which the best times are revealed that work to develop the elements of fitness special and skilled.
Through the experience of the researcher in the field of basketball being a follower, interested and coach in it noted the lack of interest of coaches in the use of time-based training programs by the coaches, hence the problem of the researcher, as the researcher aims to answer the question that follows: i.e. times from the area of effort work to influence some physical and mahariya variables, and the research aims to detect following the training curriculum using different times on some physical and care variables in basketball players, The researcher used the experimental method to suit the nature and problem of research and the researcher conducted the reconnaissance experiment and pre tests and applied the main experiment and then the post tests in the same conditions of pre tests and the researcher used the statistical bag spss to extract the results and through this the researcher concluded that the training curriculum at different times has a positive impact in the development of some physical and mahariyah variables for the players of the specialized school basketball.
PENERAPAN MODEL PEMBELAJARAN TREFFINGER TERHADAP KETERAMPILAN PEMECAHAN MASALAH SISWA SMA
Authors: Mahariyanti Ermila , Irwansah Irwansah , Prayunisa Fena
Published: August 2022

Penelitian ini bertujuan untuk mengetahui pengaruh penerapan Model Pembelajaran Treffinger terhadap Keterampilan Pemecahan Masalah Siswa SMA . Jenis penelitian ini adalah penelitian eksperimen semu (quasi experiment). Penelitian ini menggunakan dua perlakuan, yaitu perlakuan pertama berupa penggunaan model pembelajaran Treffinger dan perlakuan lainnya menggunakan pembelajaran yang biasa digunakan oleh guru. Terdapat satu variabel terikat yang diamati, yaitu keterampilan pemecahan masalah. Populasi dalam penelitian ini adalah seluruh siswa kelas X SMAN 3 Selong dan yang dijadikan sebagai sampel penelitian adalah siswa kelas X. 2 dan X. 4. Hasil penelitian menunjukkan bahwa model pembelajaran treffinger berpengaruh terhadap kemampuan pemecahan masalah pada siswa di SMAN 3 Selong. Hal ini dapat dilihat dari hasil analisis hipotesis menggunakan uji T, yaitu dengan nilai sig. (2-tailed) adalah sebesar 0,003 < 0,05. Hal tersebut berarti bahwa penggunaan model pembelajaran treffinger  berpengaruh terhadap kemampuan pemecahan masalah siswa.
ANALISIS EFEKTIVITAS PEMBELAJARAN MAHASISWA PADA MATA KULIAH STATISTIK SECARA DARING PADA MASA PANDEMI COVID-19
Authors: Taufik Ahmad
Published: August 2022

This study aims to analyze the effectiveness of student learning in Statistics courses online during the Corona Virus pandemic. This research is a qualitative descriptive study. The number of respondents studied in this study were 27 respondents consisting of active students of Physical education at the Global Nusantara Education Institute. Samples were taken using a saturated sampling technique. Data collection techniques using a questionnaire technique. Data analysis techniques include data reduction, data presentation and drawing conclusions. The conclusion of this study is that there are various kinds of difficulties faced by Physical Education students at the Global Nusantara Education Institute during online learning. The difficulties in the online learning process experienced by students lie in the effectiveness of the teaching and learning process and also technical constraints such as unstable internet networks, limited quotas and minimal interaction when the online learning process takes place.