bluuebunny/crossref_metadata_2025 huggingface dataset:
Pertumbuhan dan Produksi Tomat (Lycopersicon esculentum Mill.) Varietas Servo pada Frekuensi Penyiraman yang Berbeda
Authors: Sulistyowati Sulistyowati , Nurchayati Yulita , Setiari Nintya
Published: October 2021

Tomat merupakan tanaman familia Solanaceae yang memiliki nilai ekonomis. Penyediaan air yang cukup selama budidaya mempengaruhi pertumbuhan dan produksi buah tomat. Tujuan penelitian ini untuk mengetahui pengaruh frekuensi penyiraman terhadap pertumbuhan dan produksi buah tomat. Penelitian dilakukan di rumah percobaan dan Laboratorium Biologi Struktur dan Fungsi Tumbuhan Departemen Biologi FSM UNDIP. Desain penelitian dilakukan dengan menggunakan Rancangan Acak Lengkap (RAL) yang terdiri dari tiga perlakuan yaitu frekuensi penyiraman setiap hari, frekuensi penyiraman dua hari sekali, dan frekuensi penyiraman tiga hari sekali. Percobaan dilakukan dengan lima ulangan. Data dianalisis menggunakan analisis varians (ANOVA) pada taraf kepercayaan 95% dan dilanjutkan dengan uji Duncan. Hasil penelitian menunjukkan bahwa frekuensi penyiraman berpengaruh terhadap tinggi tanaman, bobot segar tanaman, waktu muncul bunga, jumlah buah, berat buah dan kandungan karotenoid buah tomat. Semakin sering frekuensi penyiraman dapat meningkatkan pertumbuhan dan produksi buah tetapi semakin berkurang frekuensi penyiraman maka berdampak pada kandungan karotenoid buahnya.
Distribusi Nrf2 dan Enzim GST pada Sel Granulosa Ovarium Tikus Putih Premenopause setelah Pemberian Serbuk Rimpang Kunyit
Authors: Suprihatin Teguh , Rahayu Sri , Rifa'i Muhaimin , Widyarti Sri
Published: October 2021

Kurkumin pada tanaman kunyit dapat mengaktivasi agen transkripsi yaitu Nuclear related factor 2 (Nrf2). Nrf2 berperan dalam transkripsi kelompok enzim detosifikasi fase II, seperti glutathione S-transferase (GST). Enzim GST dapat berfungsi sebagai antioksidan dengan melindungi sel dari radikal bebas terutama dari kelompok ROS. Penelitian bertujuan mengetahui distribusi Nrf2 dan enzim GST pada sel granulosa ovarium tikus putih premenopause, setelah pemberian serbuk rimpang kunyit. Hewan uji yang digunakan adalah 30 ekor tikus putih betina, strain wistar, usia 12 bulan, dengan bobot 200-250 g. Enam kelompok perlakuan, yaitu P0; kontrol negatif, diberi akuades 4 ml, P1; kontrol positif, diberi serbuk kurkumin dosis 6,75 mg/kg BB, P2; diberi serbuk rimpang kunyit dosis 100 mg/kg BB, P3; diberi serbuk rimpang kunyit dosis 200 mg/kg BB, P4; diberi serbuk rimpang kunyit dosis 400 mg/kg BB, dan P5; diberi serbuk rimpang kunyit dosis 800 mg/kg BB. Perlakuan per oral setiap hari selama 27 hari. Penelitian menggunakan Rancangan Acak Lengkap, data distribusi Nrf2 dan GST dianalisis menggunakan ANOVA dan dilanjutkan dengan BNJ. Hasil penelitian menunjukkan bahwa pemberian serbuk rimpang kunyit dosis 200mg/kg BB, merupakan dosis optimal dalam meningkatkan distribusi Nrf2 dan enzim GST pada sel granulosa ovarium tikus putih premenopause.
Struktur Anatomi Daun Mangrove Api-api Putih [Avicennia marina (Forsk.) Vierh] Di Pantai Mangunharjo, Semarang
Authors: Lumban Tobing Atia Nadira , Darmanti Sri , Hastuti Endah Dwi , Izzati Munifatul
Published: October 2021

Mangrove api-api putih (Avicennia marina) adalah jenis mangrove yang dapat hidup di lingkungan dengan kondisi salinitas, intensitas cahaya, dan suhu dengan kisaran yang cukup luas. Hal tersebut ditunjang oleh kemampuan adaptasi secara fisiologi, anatomi maupun morfologi. Adaptasi anatomi terutama berkaitan dengan kemampuan mengabsorbsi air dan hara dari media tanam dengan potensial osmotik rendah yang disebabkan oleh salinitas tinggi, kemampuan regulasi kandungan garam yang tinggi pada jaringan dan kemampuan menekan laju transpirasi. Penelitian ini bertujuan untuk menganalisis  struktur  anatomi daun A. marina yang tumbuh di Pantai Mangunharjo, Semarang. Sampel adalah daun ketiga dari ujung cabang. Masing-masing sampel diambil pada dua titik sampling, yaitu di tambak dan pantai. Tiap titik sampling diambil tiga pohon mangrove dengan ukuran pohon yang hampir sama. Preparat penampang lintang daun dibuat dengan metode embedding. Pengamatan struktur anatomi daun dilakukan dengan menggunakan fotomikrograf. Hasil penelitian menunjukkan struktur anatomi daun A. marina dari permukaan adaksial ke permukaan abaksial  berturut-turut tersusun atas kutikula, epidermis atas, kelenjar garam, jaringan hipodermis, jaringan mesofil yang terdiri atas jaringan palisade parenkim dan spons parenkim. Diantara jaringan mesofil terdapat jaringan pengangkut (vascular bundle) yang terdiri atas xilem dan floem. Sebelah bawah dari spons parenkim terdapat epidermis bawah dengan derivatnya berupa trikoma nonglandular dan stomata dengan tipe kriptofor.
Vendégelégedettségi vizsgálatok eredményei a Bakony–Balaton Geopark területén
Authors:   Pécsi Tudományegyetem Földtudományok Doktori Iskola, Máltesics Péter , Lendvai Tamás ,   Pécsi Tudományegyetem Földtudományok Doktori Iskola
Published: October 2021

A well-known national park in Hungary, the Balaton Uplands National Park and the Bakony-Balaton Geopark, offers a diverse range of ecotouristic and geotouristic products. The presentation of the geological and topographical treasures of the land, the local representatives of the flora and fauna and the culture inherited from the history is carried out by the representatives of the surrounding settlements. From a research point of view, the geological demonstration sites and nature trails provide the most useful information. Our goal is to evaluate the opinions and demographic characteristics of the visitors, and to examine touristic behaviour. With the help of the questionnaire research, we are looking for answers to questions about how well the remarks of the hikers meet the preliminary expectations? Where are there territorial differences or similarities in relation to each external or substantive feature of each site? All this is important, because the value qualifying role of the tourist is highlighted through the evaluation of visitor opinions. This allows the guest to highlight the positives and shortcomings of each route and the comments will greatly help the work of the national park and geopark.
SME business performance: an analysis of economic activities by sectors and subsectors in Guanajuato, Mexico
Authors: Ríos Manríquez Martha
Published: October 2021

This article identifies the factors that influence business performance (BP) in the construction, trade, and services sectors, as well as sub-sectors and branches of the manufacturing sector of small and mid-size enterprises (SME) in the state of Guanajuato, Mexico. A quantitative, descriptive, and correlational statistical analysis was performed on a sample of 460 enterprises, estimating a linear regression model using the ordinary least squares (OLS) method. Empirical evidence reveals that the construction, trade, and services sectors agree that profitability, efficient internal processes, and low labor absenteeism are those factors that mostly influence BP. On the other hand, in sub-sectors of low-technology manufacturing (minerals, metals, plastic and rubber; textile; and leather and substitute materials), the quality of product is the factor viewed as the most relevant to explain BP in Mexican SME.
Understanding Karl Marx'sCritique of Hegel's “Philosophy of Right”
Authors: Recht Linus
Published: October 2021

Rereading the young Karl Marx's “Critique of Hegel's ‘Philosophy of Right’“ in light of a broader range of scholarship enables a more accurate understanding of the historical and intellectual significance of this work. Shlomo Avineri's pioneering treatment is deficient in important respects. A return to Marx's and Hegel's texts may help determine more exactly what Marx was trying to figure out through Hegel, and why he saw the need to move beyond Hegel to accomplish it. In Marx's mature writings, as Postone has shown, Marx's concept of “capital” purports to identify the real basis of Hegelian Geist. Recognizing this enables an analysis that provides a fuller view of both young and mature Marx as they relate to Hegel and to one another than is typical in the literature, which often either divides Marx into young-humanist and old-economist, or else inter-collapses old and young Marx too readily.
Investigation on the Properties of Mortar Containing Palm Oil Fuel Ash and Seashell Powder as Partial Cement Replacement
Authors: Hasan K. , Yahaya F.M. , Karim A. , Othman Rokiah
Published: October 2021

The concept of utilizing various types of wastes, such as agricultural dumps and marine by-products, as a partial replacement of cement has gained a great interest to develop eco-friendly and economical mortars for sustainable construction. This study aims to evaluate the feasibility of using palm oil fuel ash (POFA), an agro-industrial waste by-product from palm oil mills and seashell powder (SSP) derived from seashells, a marine waste material partial replacement of cement in mortars. The water to binder (w/b) ratio of 0.49 and the sand to binder (s/b) ratio of 2.54 with 0% to 30% of ordinary portland cement (OPC) by weight was replaced with POFA and SSP, and the resulting mortar samples were tested for mechanical properties and durability in this study. The compressive strength, flexural strength, water absorption, and flow table tests were performed in this study for different percentages of POFA and SSP after 7, 28, and 130 days. The results showed that the 30% POFA incorporated mortars achieved the highest compressive strength (35.12N/mm2), flexural strength (4.06N/mm2), high density with less water absorption (4.79%) after 130 days of curing and the high strength mortar with less water flow (22.2cm) during casting. Also, it found that the 25% POFA and 5% SSP incorporated mortars attained acceptable results as supplementary cementing material. This study suggests that the POFA and SSP incorporated mortars could be used in concrete for sustainable development of construction through the efficient valorization of waste materials.
Application of Response Surface Methodology for Chloride Transport Properties in Nano Metaclayed-UHPC
Authors: Md Jaafar Mohd Faizal , Muhd Sidek Muhd Norhasri , Mohd Saman Hamidah , Muthusamy Khairunisa , Ghazali Norhaiza , Ibrahim Azmi
Published: October 2021

The major concern on the deterioration of reinforced concrete structure is due to the corrosion of steel reinforcement from the aggressive environment such as chloride penetration. Ultra-high performance concrete (UHPC) is an advanced concrete material having ultra-high strength with excellent durability properties. Inclusion of nano metaclay in UHPC is expected to overcome the chloride transport properties in UHPC by providing nano filler effect. Two (2) assessments were conducted which are chloride content and chloride depth were examined. All the concrete specimens were immersed in 3% NaCl solution up to 365 days and the tests conducted were performed at 3, 7, 28, 56, 91, 182 and 365 days. Response surface method (RSM) was performed to evaluate the interaction and relationship between operating variables (compressive strength and nano metaclay content). Based on RSM analysis, inclusion of nano metaclay in UHPC have good relationship towards the chloride resistance characteristics and adequate durability performance in terms of chloride penetration resistance. The results exhibited that inclusion of 1% nano metaclay significantly and positively affect in term of chloride penetration resistance.
Secondary Students’ Sensory Preferences and Their Influence on Science Academic Achievement
Authors: Ortega-Torres E. , Solaz-Portolés J. J. , Sanjosé-López V.
Published: October 2021

Evidence has been found that some students seem to have learning obstacles associated with particular sensory preferences when dealing with instructional materials. Therefore, knowing students’ sensory preferences could help teachers improve instructional resources. Our objectives were: (1) to describe Secondary students’ sensory preferences according to gender and age; (2) to analyse the possible association between students’ sensory preferences and their general academic achievement in science. We conducted a synchronic, cross-sectional descriptive study in a sample of 582 male and female students from 7th to 11th grade using the VARK questionnaire. There was a significant predominance of sensory preferences containing the Kinesthetic mode, and the preferences containing the Visual mode were the least frequent. Girls or boys showed similar distributions of sensory preferences. Using linear regression to predict students’ general academic achievement from VARK scores, we obtained a significant contribution of the Kinesthetic score, and a minor but still significant single contribution of the Reading/Writing score.
The Effect of Learning Biophysics with STEM Approach on Science Process Skills and Critical Thinking: Field Study on Application of NA-AOGS for Increasing Soybean Productivity and Growth Rate
Authors: Rosana D. , Kadarisman N. , Purwanto A. , Sari E. K.
Published: October 2021

Efforts to fulfill food security to anticipate population growth in Indonesia need to be supported by universities through research and community service. The application of the Natural Animal Audio Organic Growth System (NA-AOGS) with a STEM (Science, Technology, Engineering, and Mathematics) approach is an effort to help the community increase crop yields and accelerate the growth of soybeans (Glycine max (L.) Merill). The research method used is R&D (Research & Development) which is modified from Cennamo and Kalk (2018). This model is in the form of a spiral cycle using 5 (five) main activities as follows: (1) defining the product conceptual; (2) designing research products; (3) demonstrating the product in a limited trial; (4) developing the product through the process of evaluating the test results, and (5) presenting the product to the public.  The direct impact of learning is the improvement of science process skills and critical thinking of students participating in the Biophysics course at the Natural Sciences Study Program, Universitas Negeri Yogyakarta. This is due to the effective application of STEM to link science learning with contextual technology and engineering (NA-AOGS), environmentally friendly technology (only using natural animal sound frequency variables), mathematical elements in data analysis, and analysis of soybeans plant growth charts. The economic impact of this research is the scientific contribution in the form of adaptation of agricultural technology so that it can increase soybean yields (an increase of 130.38% on an area of 2750 m2). The novelty and contribution of this research is the integration of science learning with agricultural techniques and technology with a STEM approach so that it can improve the welfare of farmers in educational institutions as a new model in science learning.
The Effect of Macrozoobenthos Diversity Module based on Problem-based Learning on Junior High School Students’ Environmental Attitudes
Authors: Sueb S. , Damayanti J.
Published: October 2021

It is necessary to build students’ responsibility character when dealing with life problems such as environmental pollution. Because there is much pollution, it is important for students to analyze the condition of the polluted environment because they are expected to overcome the problems. The effort made is to teach students using problem-based learning modules. This module contains material of macrozoobenthos diversity as bioindicators of river water quality. This study aims to determine the effect of macrozoobenthos diversity as a bioindicator module based on problem-based learning on students’ environmental attitudes. The research design is quasi-experimental using a nonrandomized control group pretest-posttest design. The sample in this study was 60 students divided into experimental class and control class. The test results showed that the significance value for PBL modules is 0,016 ≤ 0.005, so the hypothesis is accepted. There is a difference between students who use the PBL module, which improves students’ environmental attitudes than science textbooks. Students’ initial environmental attitudes also influence it.
Making weight: acute muscle weakness and hypokalaemia exacerbated by thyrotoxicosis factitia in a bodybuilder
Authors: Bonnar Clare E , Brazil John F , Okiro Julie O , Giblin Louise , Smyth Yvonne , O’Shea Paula M , Finucane Francis M
Published: October 2021

A 32-year-old Caucasian male presented to the emergency department with a one-day history of acute severe bilateral lower limb weakness, three days after competing in a bodybuilding competition. He consumed large quantities of carbohydrate-rich foods following the competition. His past medical history was significant for anxiety, and family history was non-contributory. Examination was normal except for reduced power and hyporeflexia in both legs, despite his muscular physique. He was noted to have severe hypokalaemia (K+= 1.9 mmol/L). His thyroid function tests were consistent with thyrotoxicosis. He reported taking thyroxine and several other agents to facilitate muscle mass generation before the bodybuilding competition. His presentation was reminiscent of thyrotoxic periodic paralysis, albeit uncommon with Caucasian ethnicity. He also had transient hyperglycaemia at presentation with concomitant hyperinsulinaemia, which could be attributed to the carbohydrate load and may have exacerbated his hypokalaemia through a transcellular shift. Urine toxicology screen subsequently ruled out the use of diuretics but confirmed the presence of a long-acting beta agonist (clenbuterol) which, along with other substances, may have aggravated the hypokalaemia further. After 12 h of i.v. replacement, the potassium level normalised and leg weakness resolved. The patient agreed to stop taking thyroxine and beta agonists and was well during the clinic visit at one month follow-up. This case highlights the potential for thyrotoxicosis factitia to exacerbate hypokalaemia and muscle weakness from other causes in bodybuilders presenting with acute severe weakness, irrespective of ethnicity.

Learning points

In patients presenting with muscle weakness and hypokalaemia, early consideration of thyrotoxicosis is essential, even in the absence of a past history of thyroid disease or specific symptoms of thyrotoxicosis, in order to allow prompt initiation of appropriate treatment and to prevent recurrence.

Bodybuilders may constitute a uniquely ‘at-risk’ group for thyrotoxic periodic paralysis secondary to thyrotoxicosis factitia, especially where there is concomitant use of beta-adrenergic agonists, even in the absence of diuretic use.

Although rare and usually described in patients of Asian or Polynesian ethnicity, this case highlights that thyrotoxic periodic paralysis secondary to thyrotoxicosis factitia can also occur in patients with Caucasian ethnicity.

We speculate that consuming large quantities of carbohydrates may induce hyperinsulinaemia, which could theoretically contribute to worse hypokalaemia, though mechanistic studies would be needed to explore this further.
Granuloma telangiectásico bucal: lesión sangrante tratada con láser de diodo de 940nm en paciente pediátrico. Reporte de caso
Authors: Burgos Anaya María , Garaviz Álvarez Zuly , Giraldo Quintana Camila , Llamas García José , Rico Velasco David , Harris Ricardo Jonathan
Published: October 2021

El granuloma telangiectásico bucal es una lesión hiperplásica benigna que ocurre en respuesta a un traumatismo o irritación crónica en la cavidad oral. El aspecto histológico característico comprende un tejido de granulación típico con una proliferación de pequeños vasos sanguíneos de paredes delgadas en el tejido conectivo laxo y el tratamiento de elección es el quirúrgico. El propósito del trabajo es reportar el caso de un paciente pediátrico con granuloma telangiectásico bucal sangrante, en el que se describen las características clínicas, histológicas y la terapéutica con láser de diodo con buenos resultados posquirúrgicos.
(In)visibility of the Displaced Populations: the Blind-Spot Effect
Authors: Balinchenko Svitlana
Published: October 2021

In this paper, conflict-triggered internal displacement is reviewed through the visibility of migration-affected groups, as well as their access to decision-making. The blind-spot effect in the migration studies extends the cognitive and social implications of the systems theory, and engulfs both hypovisibility through anopticism and pseudoassimilation, and hypervisibility through panopticism and excessive control of the displaced citizens. In the context of the impact of IDP status on visibility assessment, I suggest supplementing the migration-studies’ concepts of “phlogiston” and “witch” with that of “ethanethiol”, thus starting a discussion on the role of the otherness marker in the migrantising of citizens. The case of protracted internal displacement in Ukraine due to the Russia-backed armed conflict serves as an illustration of the displaced populations’ visibility challenges and solutions.
Approximate verification of geometric ergodicity for multiple-step Metropolis transition kernels
Authors: SPADE David
Published: October 2021

In many applications involving discrete time Markov chains, the autocorrelation between states corresponding to nearby time points is too high to use all of these states as part of an approximate random sample from a specified target distribution. In these situations, it is common to use the output of a thinned chain, where we take samples every $h$ steps, and $h$ is a positive integer, in order to reduce autocorrelation. In order to justify using central limit theorems in analyses based on the output of a thinned chain, it is necessary to show that the thinned chain is geometrically ergodic. A common way to do this is to show that the chain satisfies a minorization condition and an associated drift condition. In this manuscript, we extend previous results pertaining to one-step transition kernels to handle numerical estimation of minorization and drift coefficients for $h$-step transition kernels for Metropolis algorithms.
Multi-attribute Group Decision Making Method with Unknown Attribute Weights Based on the Q-rung Orthopair Uncertain Linguistic Power Muirhead Mean Operators
Authors: Zhao Hongmei , Zhang Runtong , Zhang Ao , Zhu Xiaomin
Published: October 2021

Q-rung orthopair uncertain linguistic sets (q-ROULSs) are a powerful tool for describing ambiguity and uncertainty of linguistic information. In this study, considering that in most multi-attribute group decision making (MAGDM) problems, not only the quantitative evaluation information of decision makers but also the qualitative evaluation opinions should be considered. Therefore, we develop a novel MAGDM method with unknown attribute weights under the q-rung orthopair uncertain linguistic environments. We firstly propose the cross-entropy of q-ROULSs, which is utilized to solve the optimal attribute weights by a linear programming model. In order to effectively summarize the unclear language information of q-ROULSs, we extend the power Muirhead mean (PMM) operator to q-ROULSs, and propose a family of q-rung othpair uncertain linguistic power Muirhead mean (q-ROULPMM) operators. The advantage of the PMM operator is that it not only mitigates the adverse effects of too high or too low attribute values on the results, but also takes into account the interrelationships between attribute values. At the same time, some ideal properties and special cases of the q-ROULPMM operator are also studied. Further, a new method based on the proposed cross-entropy and aggregation operators is developed for solving the MAGDM problem under q-ROULSs. Finally, we carried out numerical experiments to prove the effectiveness and superiority of the method
A Cyber Collaborative Protocol for Real-Time Communication and Control in Human-Robot-Sensor Work
Authors: Dusadeerungsikul Puwadol Oak , Nof Shimon Y.
Published: October 2021

Real-time communication and control are essential parts of the Cyber Physical System (CPS) to optimize effective performance and reliability. To gain a sustainable competitive advantage with Automation 5.0, as needed in Work-of-the-Future, this article addresses the concept of real-time communication and control in the case of an agricultural work setting, along with a newly designed Cyber Collaborative Protocol, called CCP-RTC2. The developed protocol aims to minimize information delay and maximize JIN (Just In Need) information sharing, to enable collaborative decisions among system agents. Two experiments are conducted to compare the designed protocol’s performance in agricultural CPS against the current non-CPS practice. The results demonstrate that the CCP-RTC2 is superior compared with current practice in terms of information sharing in a normal operation scenario. When the system obtains an unplanned request, the CCP-RTC2 can integrate such a request to the original work plan while minimizing the system’s objective function (lower is better). Hence, the system has relatively smaller information delays, as well as better timely information shared with system agents that need it.
Decision Tools Regarding Time Constraints Violation in Manufacturing Workshops
Authors: Jerbi Nabil , Collart-Dutilleul Simon
Published: October 2021

This paper is dedicated to the study of constraints violation in manufacturing workshops with time constraints. In such systems, every operation duration is included between minimal and maximal values. P-time Petri nets are used for modeling. A new theorem is introduced, constituting a decision tool about the occurrence of constraints violation at the level of a synchronization transition when various types of time disturbances occur. It shows the robustness properties of a manufacturing system on a range that may include delay and advance disturbances. The theoretical result is illustrated step by step on a given workshop. Two other lemmas are elaborated contributing to the study of the constraints violation problem. The final goal is to generalize the robustness property towards simultaneous occurrence of two delays at two points of the system, each having its own robustness range.
The Modeling of Interval-Valued Time Series Using Possibility Measure-Based Encoding-Decoding Mechanism
Authors: Lv Zefeng , Shan Dan , Hu Xiaopeng , Lu Wei
Published: October 2021

Interval-valued time series (ITS) is a collection of interval-valued data whose entires are ordered by time. The modeling of ITS is an ongoing issue pursued by many researchers. There are diverse ITS models showing better performance. This paper proposes a new ITS model using possibility measure-based encoding-decoding mechanism involved in fuzzy theory. The proposed model consists of four modules, say, linguistic variable generation module, encoding module, inference module and decoding module. The linguistic variable generation module can provide a series of linguistic variables expressed in fuzzy sets used to described dynamic characteristics of ITS. The encoding module encodes ITS into some embedding vectors with semantics with the aid of possibility measure and linguistic variables formed by linguistic variable generation module. The inference module uses artificial neural network to capture relationship implied in those embedding vectors with semantic. The decoding module decodes for the outputs of the inference module to produce the output of linguistic and interval formats by using the possibility measure-based encoding-decoding mechanism. In comparison with existing ITS models, the proposed model can not only produce the output of linguistic format, but also exhibit better numeric performance.
Performance Evaluation of River Water Quality Monitoring Using Lora Connectivity with Fuzzy Algorithm
Authors: Perdana Doan , Naufal Julian , Alinursafa Ibnu
Published: October 2021

This study was proposed a river water quality monitoring application, connected by sensors such as pH, turbidity and Total Dissolved Solids (TDS) sensor to measure acidity, turbidity levels and amount of dissolved solids, respectively, as well as reduce bad effect of polluted river water. This river water quality monitoring tool was able to process input data from sensors using fuzzy algorithms and determine whether the river water quality is good or not. LoRa functions as data transmission communication and Antares as a cloud service to store data obtained from sensors. Furthermore, data obtained was displayed in the Smartphone Android application. The rivers that were tested are located in Citarum river sector 6 and 21. The results showed that the accuracy of the temperature, TDS and pH sensor were 98.69%, 89.69% and 99.39%, respectively. Furthermore, the average value of RSSI Citarum sector 6 and 21 were -111,576 dB and -112,855 dB, respectively. Meanwhile The average SNR of Sector 6 was -6,46 dB and Citarum sector 21 was -12,85851 dB.
Efficient Building Extraction for High Spatial Resolution Images Based on Dual Attention Network
Authors: Zhao Dandong , Zhao Haishi , Guan Renchu , Yang Chen
Published: October 2021

Building extraction with high spatial resolution images becomes an important research in the field of computer vision for urban-related applications. Due to the rich detailed information and complex texture features presented in high spatial resolution images, the distribution of buildings is non-proportional and their difference of scales is obvious. General methods often provide confusion results with other ground objects. In this paper, a building extraction framework based on deep residual neural network with a self-attention mechanism is proposed. This mechanism contains two parts: one is the spatial attention module, which is used to aggregate and relate the local and global features at each position (short and long distance context information) of buildings; the other is channel attention module, in which the representation of comprehensive features (includes color, texture, geometric and high-level semantic feature) are improved. The combination of the dual attention modules makes buildings can be extracted from the complex backgrounds. The effectiveness of our method is validated by the experiments counted on a wide range high spatial resolution image, i.e., Jilin-1 Gaofen 02A imagery. Compared with some state-of-the-art segmentation methods, i.e., DeepLab-v3+, PSPNet, and PSANet algorithms, the proposed dual attention network-based method achieved high accuracy and intersection-over-union for extraction performance and show finest recognition integrity of buildings.
Role of Modern Technologies and Internet of things in the field of Solid Waste Management
Authors: Barnabas S.Godwin , Geethan K.Arun vasantha , Ganesh S.Valai , Rajakarunakaran S. , Kumar P.Sabarish
Published: October 2021

The process of handling solid waste becomes complex and tedious due to the urbanization and industrialization of the most developing and developed countries. These solid waste issues if it is not addressed properly it affects ecosystem and environment. There is a possibility of many health-oriented issues especially during the pandemic period covid-19. Most of the human beings are struggling with respiratory pulmonary diseases, asthma caused by these solid wastes. Most of the governments are also spending huge amount of money for labors, devices and some technologies to tackle these solid waste issues. There is also an opportunity for the government to generate revenue from these solid wastes by properly sorting these waste into recyclable, nonrecyclable and bio-degradable wastes. But when humans are involved in sorting these waste it will cause some diseases and hygienic problems. So,in order to address the above said issues in this work the role of modern technologies, algorithms and some Internet of things (IoT) methods are discussed. Implementing these technologies in the future will save huge amount of money spent by the government for the solid waste management activities.
Deep Learning and Uniform LBP Histograms for Position Recognition of Elderly People with Privacy Preservation
Authors: Hamdi Monia , Bouhamed Heni , AlGarni Abeer , Elmannai Hela , Meshoul Souham
Published: October 2021

For the elderly population, falls are a vital health problem especially in the current context of home care for COVID-19 patients. Given the saturation of health structures, patients are quarantined, in order to prevent the spread of the disease. Therefore, it is highly desirable to have a dedicated monitoring system to adequately improve their independent living and significantly reduce assistance costs. A fall event is considered as a specific and brutal change of pose. Thus, human poses should be first identified in order to detect abnormal events. Prompted by the great results achieved by the deep neural networks, we proposed a new architecture for image classification based on local binary pattern (LBP) histograms for feature extraction. These features were then saved, instead of saving the whole image in the series of identified poses. We aimed to preserve privacy, which is highly recommended in health informatics. The novelty of this study lies in the recognition of individuals’ positions in video images avoiding the convolution neural networks (CNNs) exorbitant computational cost and Minimizing the number of necessary inputs when learning a recognition model. The obtained numerical results of our approach application are very promising compared to the results of using other complex architectures like the deep CNNs.
An Interactive Automation for Human Biliary Tree Diagnosis Using Computer Vision
Authors: AL-Oudat Mohammad , Alomari Saleh , Qattous Hazem , Azzeh Mohammad , AL-Munaizel Tariq
Published: October 2021

The biliary tree is a network of tubes that connects the liver to the gallbladder, an organ right beneath it. The bile duct is the major tube in the biliary tree. The dilatation of a bile duct is a key indicator for more major problems in the human body, such as stones and tumors, which are frequently caused by the pancreas or the papilla of vater. The detection of bile duct dilatation can be challenging for beginner or untrained medical personnel in many circumstances. Even professionals are unable to detect bile duct dilatation with the naked eye. This research presents a unique vision-based model for biliary tree initial diagnosis. To segment the biliary tree from the Magnetic Resonance Image, the framework used different image processing approaches (MRI). After the image’s region of interest was segmented, numerous calculations were performed on it to extract 10 features, including major and minor axes, bile duct area, biliary tree area, compactness, and some textural features (contrast, mean, variance and correlation). This study used a database of images from King Hussein Medical Center in Amman, Jordan, which included 200 MRI images, 100 normal cases, and 100 patients with dilated bile ducts. After the characteristics are extracted, various classifiers are used to determine the patients’ condition in terms of their health (normal or dilated). The findings demonstrate that the extracted features perform well with all classifiers in terms of accuracy and area under the curve. This study is unique in that it uses an automated approach to segment the biliary tree from MRI images, as well as scientifically correlating retrieved features with biliary tree status that has never been done before in the literature.
Perceptions and Needs of Parents of Adolescents with Disabilities for Transition Education
Authors:   The Korean Society of Special Education, Kim Kyeong-Hwa , Lee Hyunjoo
Published: October 2021

Parental involvement is one of the important factors leading to the successful transition of students with disabilities into adulthood. Also, studies have shown that the more actively parents participate, the better the results are after graduation. Regarding parents' active participation in this transition , it is important to find out how they perceive current transition education and related services and what their demands are for improving their child’s postschool outcomes. The purpose of this study is to investigate the perceptions and demands of parents of adolescents with disabilities for transition education and related services to lead to active parental participation. To this end, surveys were collected from 99 parents of students with disabilities in high school and vocational courses located in Chungbuk, South Korea. As a result of the surveys, in relation to the goal of transition education, the respondents considered employment and vocational training as the most important areas for their children's post-graduation goals. Regarding the individualized transition planning, more than half of the respondents reported that their children's post-school goals were written in the individualized educational plan(IEP), but about 57% of the parents reported that they were unable to attend their children's IEP meeting. In relation to the transition education program, the guardians generally recognized that such programs were necessary in all areas. As for the smooth operation of the transition education, the respondents wanted secure facilities and equipment in the local community, a sufficient budget for the operation of the transition education, and an appropriate allotment of transition specialists.
Comportamiento de la letalidad por COVID-19 pre y pos Plan Nacional de Vacunación, en una aseguradora del suroccidente Colombiano 2020-2021
Authors: Giraldo Oliveros Simon Andres , Zambrano Correa Ana Lilibeth
Published: October 2021

Introducción: La pandemia por COVID-19, iniciada en la región de Wuhan, China, es una prioridad en salud pública global, en Colombia ha provocado 125.016 fallecidos, por lo cual el gobierno nacional buscando una reducción en la letalidad ha implementado el Plan Nacional de Vacunación, en la aseguradora de referencia buscando evaluar dicho objetivo plantea la presente investigación con el propósito de comparar la letalidad antes y después del plan de vacunación. Metodología:Se realizó un estudio observacional transversal con intención analítica, realizado entre marzo 2002 y agosto 2021, tomando como población los 73.359 casos confirmados con COVID-19 desde fuentes oficiales como SIVIGILA, SisMuestras y SEGCOVID, se analizaron frecuencias relativas y odds ratio crudos y ajustados por mantel-haenszel con sus intervalos de confianza al 95% de la letalidad frente al periodo pre y pos vacunación. Resultados: una letalidad significativamente superior antes del inicio del plan de vacunación en hombres, mujeres, población de 60 y más años y residente en los departamentos de Nariño, Valle y Cauca, además se encontró que es 23,9% más probable que un paciente confirmado con COVID-19 falleciera antes del inicio del plan de vacunación. Discusión: estos hallazgos coinciden con estudios realizados en Argentina y Colombia, donde el avance en el proceso de vacunación ha tenido una disminución de la morbilidad y letalidad por COVID-19.
A Theoretical Perspective on Hyperdimensional Computing
Authors: Thomas Anthony , Dasgupta Sanjoy , Rosing Tajana
Published: October 2021

Hyperdimensional (HD) computing is a set of neurally inspired methods for obtaining highdimensional, low-precision, distributed representations of data. These representations can be combined with simple, neurally plausible algorithms to effect a variety of information processing tasks. HD computing has recently garnered significant interest from the computer hardware community as an energy-efficient, low-latency, and noise-robust tool for solving learning problems. In this review, we present a unified treatment of the theoretical foundations of HD computing with a focus on the suitability of representations for learning.
Intercomparison of Gamma Cell 220 Irradiator Facilities and Dr. Mirzan T Razzak Gamma Irradiators Using Harwell Dosimeters
Authors: Saputro Bimo
Published: October 2021

The gamma irradiator is a multi-purpose facility that possibly used to preserve food, sterilize medical equipment, and conduct genetic engineering and polymerization processes, during which the absorbed dose of the product is critical. The standardization of product quality assurance was regulated by the IAEA Technical Document Number 409 considering Dosimetry for Food Irradiation and ISO 14470 and 11137-3 on Food Irradiation, as well as the Guidance on Dosimetric Aspects of Development, Validation, and Routine Control, respectively. The absorbed dose was influenced by the movement of the product to the source, its position, the amount of radioactive activity in the facility, and the dose rate in the irradiation room. The dosimeter performance test and quality assurance of the system were conducted using the Facility Intercomparison Technique which tested the dosimeter (measuring instrument) at 2 different facilities to determine the performance of the measuring instrument.. In this study, 2 irradiation facilities were tested using a Harwell routine dosimeter in the dose range of 1 kGy to 30 kGy and  20 dose points. The results showed that the highest deviation reached 19% and 21% at the Gamma Cell 220 and the Dr. Mirzan T Razzak Gamma irradiator facilities. This elevated the performance of the dosimeters to determine the precision accuracy of the dose-measuring instrument.
Air pollution emission from the copper smelter Complex Bor in Serbia
Authors: Andjela B Stanojevic
Published: October 2021

Ever since the industrial revolution, air got significantly polluted by the industry. Air pollution is even more concentrated in cities that have an industrial zone. Especially in these zones, the presence of Sulfur-dioxide (SO2) and suspended Particles (PM) in the air is very high. Prolonged exposure to SO2 and PM can cause cancer, cardiovascular and respiratory disorders in humans. The aim of this paper was to a review available literature on air pollution by sulfur dioxide and suspended particles in the air region of Bor Copper complex, as well as to determine whether the investigated results are contradictory. Studies from prior years (2004-2015), as well as 2019, indicate rise of SO2 and PM air pollutants in the atmosphere in the region of the copper smelter of the Bor Complex in Serbia, which can cause serious consequences for human well-being. However, the results of research by different authors for the same years are not in agreement, with that said, a review of the literature indicates significant differences. In addition, no continuous research on any air pollutants has been done for several consecutive years. This can be an interesting question for the scientific public in Serbia. Review of available literature indicates that in Serbia, solving this problem must be taken more seriously.
Water resources of Pakistan: An analysis of sources and situation
Authors: Mushtaque Ahmed Pathan , Maryam Maira Pathan
Published: October 2021

Water assets are turning into an incredible issue everywhere in the world, there are numerous reasons the natural issues are one of the significant causes. Pakistan isn’t liberated from a similar danger of diminishing water assets on the surface and subsurface. The regular purposes behind precipitation like a downpour and icy mass dissolving are two primary sources that can add the surface and underground water.
From linear algebra to quantum information
Authors: LW Yu , NL Wang , S Kanemitsu
Published: October 2021

Anticipating the realization of quantum computers, we propose the most reader-friendly exposition of quantum information and qubits theory. Although the latter lies within framework of linear algebra, it has some fl avor of quantum mechanics and it would be easier to get used to special symbols and terminologies. Quantum mechanics is described in the language of functional analysis: the state space (the totality of all states) of a quantum system is a Hilbert space over the complex numbers and all mechanical quantities are taken as Hermite operators. Hence some basics of functional analysis is necessary. We make a smooth transition from linear algebra to functional analysis by comparing the elements in these theories: Hilbert space vs. fi nite dimensional vector space, Hermite operator vs. linear map given by a Hermite matrix. Then from Newtonian mechanics to quantum mechanics and then to the theory of qubits. We elucidate qubits theory a bit by accommodating it into linear algebra framework under these precursors.
Mirabegron to manage symptoms of interstitial cystitis / bladder pain syndrome: A stone for two birds?
Authors: João Antonio Pereira-Correia , Luiza Amaral Nahoum , João Ernesto Aldred Pinto , Valter José Fernandes Muller
Published: October 2021

Background: Interstitial Cystitis / Bladder Pain Syndrome (IC/BPS) patients often experience lowered quality of life due to pain, urinary urgency, and increases in urinary frequency. Like many chronic pain disorders, IC/BPS is poorly understood and treatment unsatisfactory. Materials and methods: We prospectively monitored the effects on pain and urinary complaints, of mirabegron associated with amitriptyline, for randomly selected women with IC/BPS. Results: Twenty-five women were randomly selected to treat pain symptoms of IC/BPS and 12 followed up until the end of the study. All patients showed improvement on all questionnaires referring to pain IC/BPS symptoms and urinary storage symptoms. There was no statistically significant improvement in urinary frequency. Conclusions: We suggest that mirabegron can work controlling urinary urgency and pain of IC/BPS patients.
Multivariate analysis of cranial measurements of Cameroon’s Blue Duiker (Cephalophusmonticola Thunberg, 1789)
Authors: IngFokam Miantsia Olivier , Meutchieye Félix , PrEvaristus Tsi Angwafo
Published: October 2021

The blue duiker (Cephalophusmonticola)isexclusively an African wild bovidae. It is a principal source of protein in the African forest zones and contributes in the nutrition of local populations. Fifteen cranial measurements on 60 skulls using the opportunist’s method as from January 2018 to December2018. Descriptive statistic and multivariate analysis were done using SPSS version 21.0software and XLSTAT-Pro version 7.5.2 software. It reveals that, there exist a significant difference between males and females skull (p>0.05): total length of skull 114.32 ± .81 and 121.71 ± 1.77; Palate maximal width 35.24 ± .75 and 44.96 ± 14.80; postorbital apophyses width 23.34 ± 1.11and 36.26 ± 1.79; Palatine length 55.31 ± 1.16 and 66.52 ± 1.86; condyle basal length 96.53 ± 1.26 and 105.43 ± 3.05 for the males and females respectively. We have a high positive correlation between the jugal teeth line length and the total skull length (0.973); between palatine length and the total skull length (0.990) and, between condyle basal length and the total skull length (0.993). The principal component analysis (PCA) enable us to see the level of genetics variabilities of blue duiker through skull measurements. These variables measurement are close together from one to another where there is a high similarity between species. Despite these similarities, the population structure of blue duiker shows three sub-species of blue duiker C1, C2 and C3 found respectively in the agro ecological zones of the Western highlands, Mono-modal humid forest and Bimodal humid forest. These three sub-species varies genetically.