bluuebunny/crossref_metadata_2025 huggingface dataset:
Beringian Freshwater Mussel Beringiana beringiana (Unionidae) in Northeast Asia
Authors: Bulakhova Nina A. , Makhrov Alexander A. , Lazutkin Anatoly N. , Shekhovtsov Sergey V. , Poluboyarova Tatiana V. , Berman Daniil I.
Published: October 2023

The origin of the fauna of Beringia is a notable biogeographical puzzle. Large mussels of the genus Beringiana inhabit both Northeast Asia and the northwestern part of North America and thus provide an important model to investigate the paleobiogeography of Beringia and the past and current intercontinental species exchanges. Data on Beringiana distribution, morphology, genetics, and taxonomy are fragmentary or questionable. In this study, we summarized the data on its distribution in Northeast Asia, performed genetic analysis (cox1), and studied the variation in the shell morphology in samples from four isolated populations, including the putative sympatric species. Over ten large enclaves of Beringiana are currently known in Northeast Asia (east to the Verkhoyansk Range), mostly in the lower reaches of large rivers in northeastern Yakutia, Kamchatka, Magadan Oblast, and Khabarovsk Krai. These enclaves are far apart (several hundreds of kilometers) because the mussel is associated with muddy sand or pebbly sand bottom substrates and spreads through its glochidia, which are parasitic on the fish. Shell morphology can be highly variable even in a single population, overlapping the diagnoses of several Beringiana species (which are currently not recognized as valid). Our analysis of the cox1 sequence in four populations identified all individuals as B. beringiana. We evaluated the possible current and probable Late Pleistocene–Early Holocene freshwater and marine pathways of B. beringiana dispersal through the area of former Beringia, including the current intercontinental migration of glochidia on fish.
Machine Learning Algorithms for Predicting the Water Quality Index
Authors: Hussein Enas E. , Jat Baloch Muhammad Yousuf , Nigar Anam , Abualkhair Hussain F. , Aldawood Faisal Khaled , Tageldin Elsayed
Published: October 2023

Groundwater is one of the water resources used to preserve natural water sources for drinking, irrigation, and several other purposes, especially in industrial applications. Human activities related to industry and agriculture result in groundwater contamination. Therefore, investigating water quality is essential for drinking and irrigation purposes. In this work, the water quality index (WQI) was used to identify the suitability of water for drinking and irrigation. However, generating an accurate WQI requires much time, as errors may be made during the sub-index calculations. Hence, an artificial intelligence (AI) prediction model was built to reduce both time and errors. Eighty data samples were collected from Sakrand, a city in the province of Sindh, to investigate the area’s WQI. The classification learners were used with raw data samples and the normalized data to select the best classifier among the following decision trees: support vector machine (SVM), k-nearest neighbors (K-NN), ensemble tree (ET), and discrimination analysis (DA). These were included in the classification learner tool in MATLAB. The results revealed that SVM was the best raw and normalized data classifier. The prediction accuracy levels for the training data were 90.8% and 89.2% for the raw and normalized data, respectively. Meanwhile, the prediction accuracy levels for the testing data were 86.67 and 93.33% for the raw and normalized data, respectively.
Tea-Waste-Mediated Magnetic Oxide Nanoparticles as a Potential Low-Cost Adsorbent for Phosphate (PO43−) Anion Remediation
Authors: Shah Khizar Hussain , Fareed Misbah , Waseem Muhammad , Shahida Shabnam , Hatshan Mohammad Rafe , Sarfraz Sadaf , Batool Aneeqa , Fahad Muhammad , Ahmad Tauqeer , Shah Noor S. , Ha Kyungeun , Han Changseok
Published: October 2023

In the current study, magnetic oxide nanoparticle-impregnated tea waste (TW-Fe3O4) is employed as an adsorbent to remove phosphate ions (PO43−) from an aqueous solution. By utilizing a variety of analytical methods, the TW-Fe3O4 nano-adsorbent was characterized by FE-SEM, TEM, EDX, BET, FTIR and XRD. The FE-SEM of TW-Fe3O4 demonstrated the adsorbent’s granular morphology with a variety of magnetic nanoparticle sizes and shapes. The XRD of TW-Fe3O4 showed two diffraction peaks at 2θ values 30.9° and 35.4°, which are in correspondence with the diffraction pattern of magnetite. The synthesis of a TW-Fe3O4 adsorbent with a greater surface area and porosity was demonstrated by BET analysis. Numerous adsorption factors like initial concentration of PO43− ion, pH of the medium, contact time, temperature and adsorbent dose were optimized for phosphate removal. The maximum removal of 92% was achieved by using the adsorbent dose of 1.2 g at 323 K (pH 5). Pseudo-second-order and intra-particle diffusion models were fitted to the sorption kinetic, whereas adsorption isotherm data were found well fitted to Freundlich and Dubinin–Radushkevich (D-R) models. The highest adsorption capacity of TW-Fe3O4 towards phosphate ions was 226.8 mg/g, which is significantly higher than other reported bio-adsorbents. According to thermodynamic data, phosphate adsorption at the solid–liquid interface was of an endothermic and spontaneous nature and characterized by enhanced inevitability.
The Development of a Coupled Soil Water Assessment Tool-MODFLOW Model for Studying the Impact of Irrigation on a Regional Water Cycle
Authors: Liang Fuli , Li Sheng , Jie Feilong , Ge Yanyan , Liu Na , Jia Guangwei
Published: October 2023

In regions with arid and semi-arid climates, water consumption for agricultural irrigation is much higher than that used for urban and industrial purposes. Intensive irrigation plays a vital role in influencing the interaction between groundwater and surface water. Understanding the impact of irrigation on the local hydrological cycle is of great significance for maintaining regional food production and -security. In order to study the impact of irrigation on the regional hydrological cycle, the present study employed the SWAT-MODFLOW coupled model to analyze the Weigan River Basin from 2002 to 2016. In the modeling process, detailed agricultural management measures were considered, including the zoning of crop types, amount of irrigation water for different crops, irrigation methods, and different sources of irrigation water. Before coupling, each model was set, calibrated, and validated separately. After coupling, the irrigation pumps and drainage units were mapped with the SWAT automatic irrigation and subbasins. Calibration and validation studies showed that the SWAT-MODFLOW coupled model could simulate the river flow and groundwater levels in the Weigan River Basin well. The model simulation results showed that the sources of water in the soil included groundwater irrigation (1147.5 mm) and surface water irrigation (68.4 mm), as well as precipitation and snowmelt recharge (97.62 mm). The groundwater balance was influenced by the river leakage (75.6 mm), lateral inflow from surrounding areas (3.6 mm), unsaturated zone infiltration (197.7 mm), and irrigation pumping (1275 mm). When compared with the scenario without irrigation, the surface runoff, groundwater infiltration, soil moisture content, and evapotranspiration increased by 7.9%, 3.2%, 4.1%, and 2.3%, respectively. Irrigation activities increased the soil moisture content and permeability, resulting in more groundwater recharge and evaporation, as well as a higher surface runoff. This model provides guidance for evaluating drought irrigation systems in future sustainable water resource management.
Empowering Greenhouse Cultivation: Dynamic Factors and Machine Learning Unite for Advanced Microclimate Prediction
Authors: Sun Wei , Chang Fi-John
Published: October 2023

Climate change has led to more frequent extreme weather events such as heatwaves, droughts, and storms, which significantly impact agriculture, causing crop damage. Greenhouse cultivation not only provides a manageable environment that protects crops from external weather conditions and pests but also requires precise microclimate control. However, greenhouse microclimates are complex since various heat transfer mechanisms would be difficult to model properly. This study proposes an innovative hybrid model (DF-RF-ANN), which seamlessly fuses three components: the dynamic factor (DF) model to extract unobserved factors, the random forest (RF) to identify key input factors, and a backpropagation neural network (BPNN) to predict greenhouse microclimate, including internal temperature, relative humidity, photosynthetically active radiation, and carbon dioxide. The proposed model utilized gridded meteorological big data and was applied to a greenhouse in Taichung, Taiwan. Two comparative models were configured using the BPNN and the Long short-term memory neural network (LSTM). The results demonstrate that DF-RF-ANN effectively captures the trends of the observations and generates predictions much closer to the observations compared to LSTM and BPNN. The proposed DF-RF-ANN model hits a milestone in multi-horizon and multi-factor microclimate predictions and offers a cost-effective and easily accessible approach. This approach could be particularly beneficial for small-scale farmers to make the best use of resources under extreme climatic events for contributing to sustainable development goals (SDGs) and the transition towards a green economy.
Identifying prior signals of bipolar disorder using primary care electronic health records: a nested case–control study
Authors: Morgan Catharine , Ashcroft Darren M , Chew-Graham Carolyn A , Sperrin Matthew , Webb Roger T , Francis Anya , Scott Jan , Yung Alison R
Published: October 2023

Background

Bipolar disorders are serious mental illnesses, yet evidence suggests that the diagnosis and treatment of bipolar disorder can be delayed by around 6 years.

Aim

To identify signals of undiagnosed bipolar disorder using routinely collected electronic health records.

Design and setting

A nested case–control study conducted using the UK Clinical Practice Research Datalink (CPRD) GOLD dataset, an anonymised electronic primary care patient database linked with hospital records. ‘Cases’ were adult patients with incident bipolar disorder diagnoses between 1 January 2010 and 31 July 2017.

Method

The patients with bipolar disorder (the bipolar disorder group) were matched by age, sex, and registered general practice to 20 ‘controls’ without recorded bipolar disorder (the control group). Annual episode incidence rates were estimated and odds ratios from conditional logistic regression models were reported for recorded health events before the index (diagnosis) date.

Results

There were 2366 patients with incident bipolar disorder diagnoses and 47 138 matched control patients (median age 40 years and 60.4% female:n= 1430/2366 with bipolar disorder andn= 28 471/47 138 without). Compared with the control group, the bipolar disorder group had a higher incidence of diagnosed depressive, psychotic, anxiety, and personality disorders and escalating self-harm up to 10 years before a bipolar disorder diagnosis. Sleep disturbance, substance misuse, and mood swings were more frequent among the bipolar disorder group than the control group. The bipolar disorder group had more frequent face-to-face consultations, and were more likely to miss multiple scheduled appointments and to be prescribed ≥3 different psychotropic medication classes in a given year.

Conclusion

Psychiatric diagnoses, psychotropic prescriptions, and health service use patterns might be signals of unreported bipolar disorder. Recognising these signals could prompt further investigation for undiagnosed significant psychopathology, leading to timely referral, assessment, and initiation of appropriate treatments.
GRASSROOTS AS AN INDIRECT METHOD OF POLITICAL DECISIONS LOBBYING
Authors:   Mariupol State University, Trofymenko А. , Trofymenko M. ,   Mariupol State University
Published: October 2023

Interest groups use a sophisticated combination of various methods and technologies in their lobbying activity, their list expands and diversifies in a digital society and differs depending on the subject of lobbying and available resources for influence. To increase the effectiveness of lobby campaigns along with traditional methods of direct influence, interest groups seek to create a certain impression about a particular issue in the public. For these purposes indirect methods of lobbying are widely used, they do not have a specific target audience, they are applied outside the offices and corridors where government officials make their decisions. Among these indirect methods of lobbying, grassroots take a special place. This term grassroots refers to the self-organized activity of groups, their attempt to influence "from the bottom up" by analogy with the growth of grass from the roots. Grassroots involves influencing decision-makers not directly, but through the public, mobilizing support for political interest through mass communication. The power of grassroots is not in financial resources, but in the ability to use the beliefs and efforts of ordinary citizens to shape the political agenda. To mobilize community lobbyists use a combination of public affairs and media relations tools. This method of influence is widely used by non-governmental organizations around the world to ensure the protection of human rights in various spheres at the local, regional, national and international levels - from race, national, religion, gender discrimination to the abortion and climate change. The article analyzes grassroots as a method of lobbying influence by mobilizing the public around a political issue; its content and essence, advantages and risks to the political system are defined. It is determined that grassroots not only enhances the effectiveness of interest group lobbying, but also makes a significant contribution to the development of democracy by promoting public awareness of important political issues, helping ordinary citizens understand the essence and consequences of legislation from a layman's perspective. The author identifies the main grassroots tools, demonstres the specifics of their effective application, emphasizes the key role of mass communication, including social networks, in organizing grassroots lobbying to expand audience coverage and mobilize public support. The importance of astroturfing lobbying as an imitation of grassroots, the creation of artificial public support for political decisions and events, which threatens the democracy and transparency of the political process, is established. Key words: astroturfing, grassroots, interest groups, lobbying, grassroots initiatives, political communications, political decision.
FEATURES OF THE DEVELOPMENT OF OPPOSITION PARTIES IN THE JAPANESE PARTY SYSTEM AT THE PRESENT STAGE
Authors: Gridina I. , Ivanets T.M. , Bulyk M. ,   Mariupol State University,   Mariupol State University,   Mariupol State University
Published: October 2023

The article analyzes the peculiarities of the development of opposition parties in the context of transformation processes in the party system of Japan at the present stage. The author characterizes the peculiarities of the formation of the Democratic Party of Japan (DPJ) after the reform of the electoral law and the establishment of a mixed electoral system in Japan in 1994. The author identifies the miscalculations of the DPJ's activities during the period of its stay in power, in particular, the causes and peculiarities of the development of centrifugal tendencies in the Democratic Party since 2017. The key factors of the success of the right-wing populist "Japan Reform Party" in the 2012 House of Representatives elections are outlined. It is concluded that one of the main reasons for the divergence in the political programs of the leading parties is the attitude to the pacifist Article 9 of the Constitution. Based on the analysis of the results of the elections to the lower house of parliament in 2017 and 2021, and to the upper house of parliament in 2019 and 2022, the election manifestos of the main political forces are characterized. Attention is focused on the phenomenon of the electoral coalition, which was formed by the left-wing opposition forces. The author concludes that the modern Japanese opposition is characterized by the absence of any basis for cooperation between the right and left poles of the opposition forces. The author outlines, on the one hand, the prospects for the potential formation of a temporary coalition between the ruling bloc and the right-wing opposition center to pass certain bills, including constitutional amendments, and, on the other hand, the impossibility of consolidating the left-wing center of the opposition in the near future. Key words: party system, party, elections, opposition party, right-wing populism.
GEBELİKTE KİLO YÖNETİMİ İÇİN AKILLI TELEFON KISA MESAJ GİRİŞİMLERİNİN KULLANIMI: DERLEME
Authors: YILDIZ Gizem , DAŞIKAN Zeynep
Published: October 2023

Bu derlemenin amacı, akıllı telefon aracılığıyla gönderilen sağlıklı beslenme ve fiziksel aktivite yaşam tarzı kısa mesaj girişimlerinin gebelikte kilo yönetiminde kullanımını literatür doğrultusunda incelemektir.

Obez kadınların %60’ı, aşırı kilolu kadınların %68’i ve gebelerin %50’si uygun kilo alım aralığını aşmaktadır. Gebelerin akıllı telefona sahip olduğu ve interneti aktif kullandığı bilinmektedir. Aşırı gestasyonel kilo alımına yönelik akıllı telefon üzerinden yapılan internet temelli kısa mesaj girişimlerinin gebelerde kilo alımını azalttığı çalışmalar vardır. Fakat kilo alımına etki etmediği çalışma sonuçları da literatürde mevcuttur. Konuyla ilgili girişimler planlanırken mesaj gönderim sıklığının oldukça önemli olduğu, telefon görüşmelerinin de dahil edilmesi gerektiği, çift yönlü iletişim kurabilen uygulamaların gebelerde daha etkili olacağı düşünülmektedir. Aşırı gestasyonel kilo alımını önlemeye yönelik akıllı telefon kısa mesaj girişimlerinin yapıldığı çalışmalar yetersizdir. Hemşirelerin bu konuda aktif rol alması, konuyla ilgili daha fazla çalışma yapılması ve telefon görüşmeleriyle de gebelerin desteklenmesi önerilmektedir.
EVALUATION OF CHANGE IN NUTRITION AFTER LAPAROSCOPIC CHOLECYSTECTOMY
Authors: ÖZTEPE Kıymet , ÇAVDAR İkbal , AKSAKAL Nihat
Published: October 2023

This prospective descriptive study was conducted to evaluate the changing nutritional habits of the patients who underwent laparoscopic cholecystectomy. The study was carried out on 76 patients between December 2019 and May 2021. The data were collected using Nutritional Habit Diagnosis Form by inter viewing the patients three months after surgery by telephone. While age and gender factors were found to affect nutritional habits after laparoscopic cholecystectomy, the rate of development of symptoms related to nutrition was statistically significant in female patients and active workers. At the first nutrition, patients with diarrhea had significantly more symptoms, while patients who lived regularly had significantly fewer symptoms. It was found that the symptoms increased with the consumption of processed meat products, full-fatcheese, vegetables such as onions, corn-peas, fruits such as oranges, snack foods, sauces such as mayonnaise-cream, and fried fatty foods. The study has demon strated that it is important to question patients’ preoperative nutritional habits and to provide training by nurses on their postoperative diet and risky foods that increase symptom development.
THE EFFECT OF COVID-19 PANDEMIA ON HEALTH ANXIETY AND QUALITY OF LIFE: THE CASE OF FEMALE STUDENTS OF FOREIGN NATIONALITY IN TURKEY
Authors: ERENOĞLU Rabiye , BÜLBÜL Tülay
Published: October 2023

This study was conducted to determine the health anxiety and quality of life of female students of foreign nationality due to Covid-19 pandemia.The present study had a cross-sectional content analysisdesign.The Personal Information Form, Health Anxiety Scale, SF-36 Quality of Life Scale and Semi-Structured Interview Form were used as the data collection tools in the study.A total of 28 female students from Syria and Palestine, Iraq, Afghanistan, Uganda, Thailand, Kazakhstan, Georgia, Morocco, Indonesia, Sudan, Algeria, Albania, Bosnia-Herzegovina, Kyrgyzstan and Somalia are included in this research. The average age of the students was 21.9±2.1. All the students were single. A total of 71.4% of the students thought that they had moderate income, 46.4% had sufficient knowledge on Covid-19, and 28.6% thought they had Covid-19-originated symptoms. It was found in the study that the majority of students were constantly anxious about Covid-19 pandemia; and therefore, they tried to follow hygienic rules. As a result, it was determined that the Covid-19 pandemic negatively affected the health anxiety and quality of life of young people.
KRONİK BÖBREK HASTALIĞI VARLIĞINDA HASTANEDE EDİNİLMİŞ ANEMİ GELİŞİMİNE ETKİ EDEN FAKTÖRLERİN DEĞERLENDİRİLMESİ
Authors: CANER Burcu , TOPRAK Ömer
Published: October 2023

Kronik böbrek hastalığı (KBH) 3 aydan uzun süren, böbrekte işlevsel ya da yapısal bozukluk ve/veya glomerüler filtrasyon hızında azalma olmasıdır. Hastanede edinilmiş anemi (HEA), hastaneye yatış sonrası hastalarda etyolojik bir neden olmaksızın anemi gelişmesidir. İyatrojenik geliştiği düşünülmektedir. Çalışmamızda KBH tanısıyla hasta-neye yatırılan hastalarda HEA prevalansını ve etki eden faktörleri saptamayı amaçladık. Mart- Eylül 2014 arasında, 18 yaş ve üzerine, KBH tanılı, nefroloji servisine yatışı yapılan hastalar çalışmaya alındı. Hipervolemi, kanama, hemoliz, sepsis, hematolojik malignite varlığı, antikoagülan kullanımı olan hastalar, sıvı replasmanı planlanan ve renal replasman tedavisi alan hastalar çalışmaya dahil edilmedi. Hastaneye yatış sonrasında hemoglobin düzeyinde 0,5 g/dl ve üzerinde düşme olması HEA olarak tanımlandı. Çalışmamızda KBH hastalarında HEA sıklığı %70 saptanmıştır. HEA gelişimi, KBH evresi ve hipotiroidi varlığı ile istatiksel anlamlı olarak ilişkili saptanmıştır (KBH p=0.021, hipotiroidi p=0.002). Günlük flebotomi miktarınin (p=0,203) ve hastanede yatış süresinin (p=0,180) HEA gelişimi ile ilişkisi saptanmamıştır. HEA’nın tanınması ve gelişimi açısından risk faktörlerinin saptanarak, önlenmesinin hastaların sağlık durumuna olumlu etki edeceği düşüncesindeyiz.
MOLECULAR CHARACTERIZATION OF ANAPLASMA PHAGOCYTOPHILUM IN IXODID TICKS IN KAYSERİ REGION IN TURKEY
Authors: TÜRKMEN Ömer , DÜZLÜ Önder
Published: October 2023

The study was conducted to investigate the presence of Anaplasma phagocytophilum in ixodid ticks collected from cattle in Kayseri region of Turkey using Real Time PCR and to characterize positive isolates based on 16S rRNA gene region. DNA was extracted from 265 adult ticks. Nested PCR analyses were performed using Anaplasma phagocytophilum-specific primers amplifying a 641 bp fragment of 16S rRNA gene region. Real Time PCR analysis revealed positive results in one H. marginatum and R. turanicus sample. DNA sequences were submitted to GenBank and analyzed by pairwise and multiple sequence alignments with other A. phagocytophilum strains in GenBank to investigate the phylogeny. The phylogenetic analysis revealed that A. phagocytophilum isolates collected from H. marginatum and R. turanicus samples in Kayseri region clustered into three main groups (A, B, and C) with previously reported isolates from the world. A and B groups showed high homology, whereas C group had an average genetic variation of 0.2%. The average genetic differences between A and B groups were 10.8±2.0 and 13.0±2.7% between A and C groups, while the average genetic difference between B and C groups was 13.8±2.8%. In conclusion, this study provides scientific data on molecular prevalence and genetic characteristics of A. phagocytophilum in tick samples in Turkey.
القبائل المحلية تحت سلطة الخيمة العثمانية وصناعة التخلف
Authors: Kharous.mustafa Kharous.mustafa
Published: October 2023

رغم ما يشكّله النظام القبلي في الجزائر من رصيد تاريخي وموروث اجتماعي أصيل إلا أنّه ساهم في عرقلة مسيرة التحضّر والتمدين في فترات تاريخية حاسمة من الجزائر كان بالإمكان استيعابه وادماجه ضمن تيارات التغيير الوافدة للحصول على أكبر قوة ومنعة لصالح البلد والمجتمع إلا أنّ ردات الفعل كانت قوية ضد أي محاولة للتغيير .لكن مع العهد العثماني كانت سياسة الأمر الواقع غالبة على مدار ثلاث قرون كاملة التقت سياسات الأتراك المانعة لأي وحدة داخل القبيلة مع أهداف وغايات شيوخها وزعمائها الساعيين للحفاظ على امتيازاتهم ومصالحهم الريعية بعيدا عن المصلحة العامة في وقت كانت أوروبا تمر بمرحلة انصهار خرجت منه كتلة جديدة فرضت منطقها وقوتها على غيرها من البلدان والمجتمعات القابعة في بؤرة التخلف.
 يهدف بحثنا لإبراز طبيعة النظام العثماني في الجزائر، سياسته تجاه القبائل ، وسياسة التخلف التي ثرت على مستقبل الجزائر وفق منهج تاريخي تحليلي
Reflective Practices on Teaching English as a Foreign Language in The Algerian Secondary School: Perspectives and Challenges
Authors: Bouakaz Sara , Bachar Ahmad
Published: October 2023

The ongoing journey of ELT in Algeria have become crucial; academicians have encouraged teachers to adopt critical methods such as those applied in the “Reflective Teaching Approach”. Reflection implies an internal investigation that boosts teachers to be self-aware by tuning into their competences, feelings and behaviors through the adoption of particular metacognitive practices. This study aims at tackling the challenges of reflective practices on ELT in the Algerian Secondary School in the city of Tebessa through, first, utilizing both the “humanistic” and “sociocultural” approaches and, second, adopting a descriptive method via conducting a qualitative structured questionnaire submitted to the teachers.
Development of Deep Learning Algorithms for Improved Facial Recognition in Security Applications
Authors: Bein Adrian Sean , Williams Alexander
Published: October 2023

This research aims to develop artificial intelligence (AI) algorithms in the context of facial recognition with a focus on increasing accuracy in difficult environmental conditions. Although facial recognition technology has made great progress, challenges such as poor lighting, variations in facial expressions, and head rotation are still problems that must be overcome. The research methodology involved collecting a wide dataset covering a wide variety of faces under various environmental conditions. This data is then processed and its features are extracted using computer image processing techniques. Furthermore, several deep neural network architectures, such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), were developed, trained, and evaluated for face recognition tasks. The expected result is the development of an AI algorithm that is able to overcome challenges in facial recognition with higher accuracy than existing methods. In particular, significant improvements in facial recognition accuracy are expected especially under low lighting conditions and variations in facial expressions. This research has a major impact in a variety of security applications, such as border surveillance, building access control, and corporate security. With higher facial recognition accuracy, security risks can be significantly reduced, resulting in safer and more efficient security solutions. In conclusion, this research aims to bring innovation in facial recognition technology through advanced AI approaches, with the potential to improve security in various contexts.
Integrated Group Investigation Model Impact on Students’ Writing Achievement
Authors: Prayuda Meikardo Samuel
Published: October 2023

This research was purposed to find out if integrated group investigation model could give significance impact to the students’ writing achievement. The instruments that used in this study was tests. The tests were divided into two, there were pre-test and post test. Both test consisted of 1 item. In this study, the study applied the pre-test in both control and experiment groups. After that, the study applied the teaching process by using group investigation model in experiment class and conventional way in control class. After the teaching process finished, the study took the data of the post-test. In the pre-test, the data showed that the students’ achievement in writing was low, both in control and experiment classes. The result was the students writing achievement in control class got 54.66mean score and in experiment class the students got 60.00 mean score both in pre-tests. Then, the researcher conduct the study with the students in control class taught by using conventional way and students in experiment class taught by using group investigation model. When the post-test was given to each class, the result was the students in control class got 71.00 mean score and students in experiment class got 87.66 mean score. From the data, it could be concluded that teaching writing by using group investigation model could give significance effect to the students’ writing achievement
The Impact of Transformational Leadership on Justice and Organizational Trust in Wirana Village, Pamarayan District, Serang Regency
Authors: Shabatini Dewi Nancy , Hanafi Syadeli
Published: October 2023

A well-prepared abstract enables the reader to identify the basic content of a document quickly and accurately, to determine its relevance to their interests, and thus to decide whether to read the document in its entirety. The Abstract should be informative and completely self-explanatory, provide a clear statement of the problem, the proposed approach or solution, and point out major findings and conclusions. The Abstract should be 100 to 200 words in length. The abstract should be written in the past tense. Standard nomenclature should be used and abbreviations should be avoided. No literature should be cited. The keyword list provides the opportunity to add keywords, used by the indexing and abstracting services, in addition to those already present in the title.
Feasibility Analysis Of Tas Small To Medium Industrial Enterprises In Tanggulangin District, Sidoarjo Regency
Authors: Putri Nadila Nindia Frisca Putri
Published: October 2023

Small and medium industries (IKM) have made a major contribution to national economic growth and societal welfare. The important role of the SME sector can be seen from the absorption of the workforce which reached 12.39 million people or contributed 66.25% of the total workforce in the industrial sector. The important role of the SME sector can be seen from the absorption of the workforce which reached 12.39 million people or contributed 66.25% of the total workforce in the industrial sector. SMEs were able to contribute to the growth of the non-oil and gas industry by 21.22%. This research uses a qualitative analysis method with primary data and secondary data. Data was collected through literature study, observation, interviews and documentation conducted on six bag business informants in Kedensari Village, Tanggulangin District, Sidoarjo Regency. Business feasibility analysis is determined using a cost and profit analysis formula. The formula used is analysis of the R/C ratio, B/C ratio, and ROI. Based on the results of research conducted on six bag entrepreneurs in Kedensari Village, Tanggulangin District, Sidoarjo Regency, analysis of the R/C ratio, B/C ratio, ROI shows results >1 which indicates that the business is feasible. This shows that the profit value obtained by bag entrepreneurs is more than the total costs and business capital incurred during bag production.
The Impact Of The Waste Bank Program On The Income Level Of Waste Bank Customers (Case Study at the Eka Jaya Waste Bank, Sememi Village, Benowo District, Surabaya City)
Authors: Valentine Risa , Yasin Muhammad
Published: October 2023

One of the major breakthroughs in waste management in Indonesia is the waste bank program. Through this program, it is formed in people's minds that waste is something that is useless and is simply thrown away, converted into something that also has value and price. Through the waste bank, people can save waste, which can then generate money within a certain period of time. Research using descriptive research methods with quantitative analysis. This study aims to find out how the impact of the waste bank program on the socio-economic community in Sememi Village, Benowo District, Surabaya City. Impact is defined as an influence that brings both positive and negative consequences. In this case the impact is aimed at the socio-economic life of the community at the Eka Jaya Garbage Bank, Sememi Village, Benowo District, Surabaya City. Based on the results of data analysis, it was concluded that there was a positive impact on the socio-economic life of the people in Sememi Village, Benowo District after the construction of the Garbage Bank. This is indicated by an increase in people's income, although it is small, it provides significant benefits for the community. Not only income has increased, but health and better social interaction among people, most importantly, a cleaner environment has also increased from time to time
The Civic Technopreneurship in Creating A Student Self-Reliance Character
Authors: Hendri Hendri , Utaminingsih Sri , Anwar Saiful
Published: October 2023

In the 20s, everything was still conventionally based, and the competition was not much and stiff. But in the 21st century, it is more massive and productive. As a form of development, planting awareness has the character of independence. Of course, it needs new breakthroughs that are in line with the times, namely learning based on Etnopreneur Technology (Technopreneurship). This study aims to describe and analyze the creative results of  senior high school in Bandung City students, as a vehicle for the formation of students' independent character, which is carried out through a technopreneurship learning approach. The research method uses a qualitative descriptive approach. Data collection techniques were carried out by observational studies, documentation, and interviews. While the respondents are those who have relevance and expertise in these activities. The results obtained in the study were that students were able to create applications as a breakthrough as an effort to build student character with learning innovations that utilized technology. This breakthrough is an optimization of the character of independence in dealing with life's challenges during a pandemic and the provision of knowledge after graduation in order to develop one's own business with the provision of knowledge of innovative technology. The implication is that students are able to think creatively and innovatively, take responsibility. The impact of student responsibility is an effort to create applications that utilize digital technology as a means of building entrepreneurship as a form of student independence in building businesses.
Exploring Communicative Language Teaching to Investigate English Communication Willingness in EFL Learners’ Classroom
Authors: Williyan Aldha , Apriani Eka , Sirniawati Sirniawati , Rosalina Utami
Published: October 2023

Being Willing to Communicate (WTC) in English is significant since communicating in another language is considered to be a crucial part of learning a foreign language. Without it, the students only learn English in a passive way. This study, therefore, aims to explore the Communicative Language Teaching (CLT) to investigate the Willingness to Communicate (WTC) in English of EFL learners. This research uses mixed methods, especially Embedded Design, to explore CLT and investigate WTC in English of EFL learners.  Qualitative analysis begins this research through observation and interviews. The results of both are then strengthened by the results of quantitative analysis through the questionnaire. It was found that there were various communicative activities implemented by the teacher. Those are effectively conducted by the teacher to promote communicative language teaching in the classroom. Another finding is that there are six WTC patterns, and the pattern of voluntary participation in class activities has the highest percentage of occurrences. The conclusion that can be drawn from this research is that the willingness to communicate (WTC) in English for EFL learners is regarded as high or very willing.
Designing a Decision Support System for Educational Resource Allocation
Authors: Muharlisiani Lusy Tunik , Mulawarman Widyatmike Gede , Suwarni S , S Usanto , Hutahaean Berman , Rahim Robbi
Published: October 2023

The effective allocation of educational resources is crucial for enhancing the quality of education. This study explores the development and application of a decision support system (DSS) using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. Various entities are evaluated based on a set of critical criteria. Using the TOPSIS approach, entities were systematically ranked, offering a clear directive for optimal resource allocation. This study provides a significant tool for resource management, offering a transparent, objective, and data-driven process. However, DSS should complement other qualitative and contextual considerations in the decision-making process. Future research directions include the integration of temporal data, broadening the set of criteria, and the inclusion of machine learning for dynamic decision-making. Ultimately, this study underscores the value of systematic and data-driven processes in resource allocation, contributing to the improvement of the quality of education
Strengthening Student Learning Motivation in Fiqh Subjects Through the Adolescent Psychology Approach
Authors: Suharnis Suharnis , Rustina Rustina , Lobut Sjakir , Rusdin Rusdin
Published: October 2023

In today’s young generation, there is an understanding of religion that is starting to disappear among the younger generation. To solve this problem, it is necessary to motivate the younger generation to be able to study fiqh science. This research was carried out to describe how important the application of adolescent psychology is in increasing the learning motivation of students at a state Madrasah Aliyah Negeri in Palu. This research was carried out using a qualitative approach. Interviews was employed to collect the data. Meanwhile, the data analysis process carried out in this study used deductive and inductive techniques. The results of this study then found that learning motivation for students was strongly influenced by their psychological development. Therefore, problems in fiqh learning activities can be solved by increasing student motivation through an adolescent psychology approach. Through this, it is hoped that students will want to learn fiqh.
The Internationalization Process of Tunisian Small and Medium Enterprises (SMEs) in Africa
Authors: Tamzini Khaled
Published: October 2023

In this paper, the author analyzes the role of several determinants in the internationalization process of Tunisian small and medium enterprises (SMEs) in Africa and their consequent performance. A quantitative study was carried out on 46 companies operating in information and communication technologies (ICTs). SPSS and Smart PLS were used to analyze the obtained data. The results demonstrate the importance of the total mediating role of international entrepreneurial orientation (IEO) in the relationship between competitiveness and international performance. However, networking generates a direct effect on international performance. Tunisian SMEs in the ICT industry are called upon to review their African-market methods of management and inspection to guarantee optimal use of resources and avoid the loss of business opportunities. Besides, according to this research, the weight of Tunisian SMEs’ competitive advantage allows them to adopt entrepreneurial behavior characterized by innovation, proactivity and risk-taking in Africa. This pushes them to adopt a permanent design and adaptation of valuable methods of value creation, innovation, and localization of opportunities. This entrepreneurial behavior also compels companies to better structure their management, develop skills of intuition and anticipation in the market, take risks as well as initiatives and consequently achieve greater performance and sustainability.
Can Computer Virtual Influencers Replace Human Influencers in the Future? An Empirical Investigation in the Age of Digital Transformation
Authors: Al Masri Yazeed , Hamadneh Samer , Al-Dmour Rand , Al-Okaily Manaf
Published: October 2023

Marketers often face challenges when pursuing and working with social-media influencers. However, these challenges can be bypassed when choosing virtual influencers. This paper investigates computer-generated virtual influencers’ impact on a new fashion brand associations and buying intentions. Drawing on virtual humans’ literature and human influencer marketing literature, this study utilizes a fictional fashion brand and manipulates this brand using a popular Instagram virtual influencer.

To understand the effect of virtual influencers’ characteristics on brand associations and buying intentions, 225 survey forms were distributed using a random-sampling method. Structural equation modeling was used to examine the virtual influencer attributes’ effects on brand attitudes and buying intentions. The study concluded that replacing human influencers in the fashion context, especially for new brands to establish a proper brand positioning, is integral to success. The study contributes to influencers’ marketing literature by integrating the virtual influencer concept into a celebrity endorsement discourse. Furthermore, the study offers a blueprint for marketing managers who are keen to understand virtual influencers’ attributes required to have an effective endorsement.
Business Research in Developing Economies: Evidential MBA Theses Approach – Case of Jordan
Authors: Ali Faleh Alalawneh Ammar , Fahed Saleh Alkhatib Saleh
Published: October 2023

This study aims to scholarly analyze the trends in business research and its significance for developing economies. As a case-study approach, the trends and methodological issues in MBA theses during the span from 1996 to 2018 in Jordan have been considered. Further, keeping the broader research theme intact, significant attention has been given to the analysis of operations and information systems. A total of 283 MBA theses have been ascertained and analysed, where both descriptive and in-depth analyses of data have been conducted. The findings exposed a number of critical business-research problems. These problems affect both the applicability and quality of research works and limit their contributions in academic and practical fields. Several conclusions, policy implications and directions for future research have been suggested for academia and practitioners in business
Corporate Social Responsibility (CSR) Disclosure, Internationalization and Tax Avoidance: Evidence from Indonesia
Authors: Asfaro Saragih Hidayah , Adhariani Desi , D. Djakman Chaerul
Published: October 2023

This research aims to explore the association between corporate social responsibility (CSR) disclosure, internationalization and tax avoidance of manufacturing companies in Indonesia during (2013-2015). The three-year-period was chosen to represent the last three years before the Global Reporting Initiative (GRI) guidelines, which are used to measure the CSR disclosure, transitioned to GRI Standards, which are more structured, flexible and dynamic. Under the GRI guidelines regime, we expected to document the associations among the three main variables before significant impacts of several events on reporting, such as the transition to new standards, the launch of Sustainable Development Goals (SDGs) and the implementation of tax amnesty in Indonesia in 2016. Empirical analyses were conducted on a sample comprising 153 firm-year observations. Relationships between CSR disclosure and tax avoidance, internationalization and tax avoidance and the moderating role of internationalization were examined using multiple regression analyses, whereas t-test analysis was used to find any significant differences in each association. The results indicated that CSR disclosure positively affects tax avoidance. Meanwhile, internationalization has no effect on tax avoidance and has no moderating role in the positive relationship between CSR disclosure and tax avoidance. This study is among the early research studies which provide evidence from Indonesia, as one of the G20 countries, investigating the associations among CSR disclosure, internationalization and tax avoidance, as well as the moderating role of internationalization, which has not been given much attention in the literature.
Single-scan polarization-resolved saturated absorption spectra using hybridly polarized beam in 85Rb atomic vapor
Authors: Jiang Binru , Yuan Jiaqi , Cheng Xuemei , Wang Xing , Ren Zhaoyu
Published: October 2023

We report on a single-scan polarization-resolved saturated absorption spectra (SAS) method utilizing a hybridly polarized beam as the probe. Owning to the spatial-variant polarization of a hybridly polarized probe, the polarization-resolved information can be retrieved from the single signal image. Then, the polarization dependence of SAS from two transitions are investigated. Strong polarization dependence is observed from the “closed two-level transition” as |5S
1/2, F = 3> → |5P
3/2, F′ = 4> of 85Rb. By contrast, no polarization dependence is observed from “open two-level transition” as |5S
1/2, F = 3> → |5P
3/2, F′ = 3>. The method would be meaningful for the samples with poor stability or the ultrafast processes.
DISCRETE-TIME HOPFIELD NEURAL NETWORK: CONVERGENCE THEOREM: PERTURBATION ANALYSIS
Authors: Garimella Rama  Murthy
Published: October 2023

In this research paper, we show that the convergence theorem of Hopfield neural network hods true without the condition that the diagonal elements must be non-negative (using epsilon perturbation of diagonal elements). More general version of this result is also proved. It is also shown that the eigenvalue vector of a symmetric matrix and the diagonal element vector are related through a linear system of equations with the coefficient matrix being a doubly stochastic matrix. Also, Perturbation analysis of Hopfield neural network is discussed.
AdaptEdge: Targeted Universal Adversarial Attacks on Time Series Data in Smart Grids
Authors: Khan Sultan Uddin , Mynuddin Mohammed , Nabil Mahmoud
Published: October 2023

 Deep learning (DL) has emerged as a key technique in smart grid operations for task classification of power quality disturbances (PQDs). Even though these models have considerably improved the efficiency of power infrastructure, their susceptibility to adversarial attacks presents potential difficulties. For the first time, we introduce a novel algorithm called Adaptive Edge (AdaptEdge), which effectively employs targeted universal adversarial attacks to deceive DL models working with time series data. The unique contribution of this algorithm is its ability to maintain a delicate balance between the fooling rate and the imperceptibility of perturbations to human observers. Our results demonstrate a fooling rate of up to 90.78% in the ResNet50 model—the highest achieved thus far—while maintaining an optimal signal-to-noise ratio (SNR) of 3dB and ensuring signal integrity. We implemented our algorithm across various advanced DL models and found considerable efficacy, demonstrating its adaptability and versatility across diverse architectures. The results of our study highlight the pressing need for developing more robust DL model implementations in the context of the smart grid. Additionally, our proposed approach demonstrates its effectiveness in addressing this need. 