bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGEMBANGAN THERMOBALANCE DIGITAL BERBASIS TEKNOLOGI SENSOR DAN LEMBAR KERJA PESERTA DIDIK (LKPD) UNTUK PEMBELAJARAN MATERI SUHU DAN KALOR
Authors: Yulkifli Yulkifli , Usmeldi Usmeldi , Yohandri Yohandri , Anggraini Anggraini
Published: March 2024

An understanding of temperature and heat concept is one of the learning objectives in the 2013 Curriculum and the complexity of these concepts requires learning tools that can help students in achieving this objective. In this article, we discussed the development of digital thermobalance and student worksheets (LKPD) as supporting tools for learning temperature and heat concepts. The evaluation results showed that digital thermobalance and LKPD developed in this study have proven to be valid, practical, and effective. Findings from this evaluation showed the potential of digital thermobalance and LKPD as a learning media for temperature and heat subject. ABSTRAKPemahaman tentang konsep materi dan suhu adalah salah satu tujuan pembelajaran dalam Kurikulum 2013 dan kompleksitas materi ini menuntut adanya perangkat pembelajaran yang dapat membantu peserta didik dalam mencapai tujuan tersebut. Dalam artikel ini, kami akan memaparkan pengembangan thermobalance digital dan Lembar Kerja Peserta Didik (LKPD) sebagai penunjang pembelajaran suhu dan kalor. Hasil evaluasi menunjukkan bahwa thermobalance digital dan LKPD yang dikembangkan dalam penelitian ini telah terbukti valid, praktis, dan efektif. Temuan hasil evaluasi tersebut menunjukkan potensi thermobalance digital dan LKPD sebagai media pembelajaran materi suhu dan kalor.
IMPROVING STUDENTS’ SCIENTIFIC LITERACY ON ENVIRONMENTAL POLLUTION THROUGH LABORATORY-BASED LEARNING
Authors: Rubini Bibin , Pursitasari Indarini Dwi , Ardianto Didit , Nugraha Haris
Published: March 2024

The purpose of science education is to develop scientific literacy. This study investigated the effectiveness of Laboratory-Based Learning (LBL) in improving students’ scientific literacy. Samples were 70 seventh grade students in Bogor-West Java in which they were divided into two experimental groups, LBL and Non Laboratory-Based Learning (NLBL) group. Research instrument was scientific literacy test with 30 multiple choice questions about environmental pollution. Results suggested that both types of learning increase students’ scientific literacy, although LBL proved to create better scientific literacy improvement. Content and science process domain improvement for every indicator is discussed.
BRAIN DUMP ACTIVITIES TO OVERCOME STUDENT’S INTRINSIC COGNITIVE LOAD IN REPRODUCTIVE SYSTEMS ONLINE LEARNING
Authors: Handayanie Yunni , Rahmat Adi , Priyandoko Didik
Published: March 2024

This study aimed to overcome the intrinsic cognitive load in reproductive system learning by providing brain dump activities. Quasi-experimental was used in this study by using the post-test only control group design. A total of 41 students of the XI class was involved in this study which were divided into two groups, namely the treatment group and the control group. Learning was carried out in two meetings which are asynchronously and synchronously learning in two groups. Brain dump activities were carried out by asking four questions, namely: what you are thinking about, what you will do, what are the three main priorities that will be done, and what you are grateful for. Intrinsic cognitive load was measured using a subjective rating scale with a scale of 1 - 8 at each meeting. In treatment group, intrinsic cognitive load was lower than the control group. The results of the mean difference test in intrinsic cognitive load showed a significant difference (sig. = 0.0190.050) between the treatment group and the control group. These results illustrate that in reproductive system learning using brain dump activities can overcome students' intrinsic cognitive load.
VARIOUS STUDENT RESPONSES TO THE IMPLEMENTATION OF ONLINE LECTURES AND VARIOUS ACCOMPANYING ASPECTS
Authors: Kustiawan Cece , Mulyaning Asih Endang Cahya , Puspita Entit
Published: March 2024

This study aimed to describe the participant's responses to implementing online lectures and various accompanying aspects. The research method chosen is a qualitative descriptive method. The research participants comprised 85 fifth-semester students at a tertiary institution in Indonesia who had attended online lectures and used the Learning Management System (LMS) service. Identification, clarification, reduction, analysis, and description techniques were carried out to process data from questionnaires and interviews to answer the problems under study. The study results show that participants in online lectures prefer the zoom meeting platform for synchronous lecture types. With the recording facility, participants can re-learn through the LMS application in the video link feature. However, participants prefer the WhatsApp application to discuss their problems. The biggest obstacle they face in online lectures is the stability of the internet network, even though most of them have internet access on a subscription basis. The weakness of online lectures is the lack of interaction, the hope of participants after the pandemic is over is the implementation of blended lectures with the distribution of lecture components in online and offline sessions.
ANALISIS KEMAMPUAN SISWA SMU DALAM MENTRANSLASIKAN DATA KE DALAM BENTUK GRAFIK PADA KONSEP EKOLOGI
Authors: Herpiandi Wandi , Hidayat Otang , Sumarno Unang
Published: March 2024

Penelitian ini berjudul “Analisis Kemampuan Siswa SMU Dalam Mentranslasikan Data Ke Dalam Bentuk Grafik Pada Konsep Ekologi”, merupakan penelitian deskriptif–eksploratif yang bertujuan untuk mendapatkan gambaran tentang kemampuan siswa SMU di Kota Bandung dalam membuat grafik. Subyek penelitian adalah siswa kelas 2 dari tiga SMU di Kota Bandung, dimana sekolah tersebut dipilih masing-masing mewakili sekolah tinggi, sekolah sedang dan sekolah rendah dengan cara random cluster sampling. Sekolah tinggi diwakili oleh SMUN 2 Bandung, sekolah sedang oleh SMUN 6 Bandung, dan sekolah rendah diwakili oleh SMUN 15 Bandung. Sebagai subyek sampel penelitian digunakan kelas 2-H dari SMUN 2 Bandung, kelas 2-6 dari SMUN 6 Bandung, dan kelas 2-5 untuk SMUN 15 Bandung yang diperoleh juga dengan cara random cluster sampling dengan melibatkan 122 siswa. Instrumen pengumpul data yang digunakan terdiri atas Tes Kemampuan Membuat Grafik sebagai instrumen utama, dan untuk mengungkap kesulitankesulitanyang dialami oleh siswa pada waktu membuat grafik digunakan angket. Data yang diperoleh kemudian dinyatakan secara kualitatif dengan prosentase. Berdasarkan hasil pengolahan dan analisis data, terungkap bahwa kemampuan siswa SMU secara keseluruhan dalam membuat grafik pada konsep EKologi berada pada kategori kurang (54,68 %). Dimana untuk sekolah dengan kategori rendah memperoleh penguasaaan 53,18%, sekolah kategori sedang memperoleh penguasaan 55,14%, dan sekolah kategori tinggi memperoleh penguasaan 55,57%. Penyebaran kemampuan siswa dalam membuat grafik yang dinyatakan dalam prosentase ternyata memiliki kecenderungan yang sama, yaitu kelompok siswa dengan kemampuan sedang lebih banyak dibandingkan dengan kelompok siswa yang memiliki kemampuan kurang dan kelompok siswa yang memeliki kemampuan tinggi. Adapun kesulitan-kesulitan yang dihadapi oleh siswa dalam membuat suatu grafik adalah kurangnya kemampuan untuk memindahkan data menjadi grafik yang tepat, pemberian keterangan (judul), serta khusus untuk grafik kue siswa kesulitan dalam menentukan skala.
ABSTRAKSI REFLEKTIF DALAM BERFIKIR MATEMATIKA TINGKAT TINGGI
Authors: Nurlaelah Elah
Published: March 2024

Abstraksi Reflektif (Reflective Abstraction) adalah suatu konsep yang dikenalkan oleh Piaget untuk menjelaskan konstruksi struktur logika matematika seseorang dalam pengembangan kognitif pada saat mempelajari suatu konsep. Tujuan penulisan makalah ini untuk menjelaskan konsep Abstraksi Reflektif yang merupakan suatu alat yang berguna untuk mempelajari berfikir matematika tingkat tinggi, dan akan memunculkan suatu teori dasar yang mendukung dan berkonstribusi pada pemahaman kita tentang pemikiran dan bagaimana kita dapat menolong siswa untuk meningkatkan kemampuan mereka dalam hal ini.
MODEL PEMBELAJARAN FISIKA BERORIENTASI LIFE SKILL UNTUK MENINGKATKAN KETERAMPILAN PROSES
Authors: Kartika Eneng , Kaniawati Ida , Rusnayati Heny
Published: March 2024

Tujuan utama dari penelitian ini adalah untuk mengetahui peningkatan keterampilan proses siswa dengan menggunakan model pembelajaran Life Skill. Metode penelitian yang digunakan adalah penelitian eksperimen dengan desain Randomized Control Group Pretes-Posttest Design. Sampel penelitian ini adalah kelas X-4 sebagai kelas eksperimen dan kelas X-3 sebagai kelas kontrol di salah satu SMA Negeri di Bandung tahun ajaran 2003/2004. Instrumen yang digunakan adalah tes uraian, angket respon siswa terhadap pembelajaran Life Skill dan keterlaksanaan sintaks pembelajaran Life Skill. Setelah dilakukan penelitian pada aspek mengamati, menyusun kesimpulan sementara, menerapkan konsep, dan merumuskan hipotesis diperoleh hasil pada kategori sedang. Berdasarkan hasil uji hipotesis menunjukkan bahwa pembelajaran berorientasi Life skill dapat meningkatkan keterampilan proses sains siswa. Demikian juga hampir seliruh siswa X-4 memberikan respon yang positif terhadap pembelajaran dengan menggunakan model pembelajaran Berorientasi Life Skill.
The Impact of Fintech on Traditional Financial Banking in West Africa
Authors: Boubacar Emine Dahi Mohamed
Published: March 2024

Fintech, the convergence of finance and technology, has emerged as a transformative force reshaping the global financial landscape. While its influence is evident across the world, its impact on traditional financial systems in less developed countries remains a subject of exploration and analysis. This paper aims to investigate the multifaceted effects of fintech on traditional financial systems in less developed countries, examining both the opportunities and challenges it presents. Through an examination of various case studies and empirical evidence, this paper seeks to provide insights into the evolving dynamics of financial inclusion, innovation, regulation, and economic growth spurred by fintech in less developed countries.
Incident during construction of an underwater passage by directional drilling
Authors: Khasanov Rustyam R. , Nastavshev Andrey E.
Published: March 2024

Relevance. This paper considers the issue of construction of underwater passages of trunk pipelines by the directional drilling method using concrete weight coated pipes. This issue is relevant, since at the present moment there is no standards and technical documentation regulating the calculation procedure of the minimum allowable elastic bend radius of a pipeline with concrete coating in a well. There are situations when design institutes made incorrect design decisions as a result, the pipe string got stuck during works. Those incidents led to unnecessary economic expenditures and a delay in the work implementation plan. Aim. To study the issues which related with the sticking of the pipe string during the construction of the underwater passage of the main pipeline by the method of directional drilling; calculate the minimum allowable elastic bend radius of a pipeline with concrete coating and the actual parameters of the pilot drillhole. Objects. An underwater passage of a trunk pipeline constructed by the method of directional drilling. Methods. Study of standards and technical documents on the construction of underwater crossings of main pipelines and an analysis of the incident in which a pipeline with concrete weight coating got stuck. Results. The authors substantiate the calculation of the minimum allowable elastic bend radius of a pipeline with a concrete coating based on the requirements of domestic standards and technical documentation. The authors have calculated this value by an analytical method, based on studies of the bending stiffness of concrete structures by foreign scientists, as well as actual parameters of the pilot drillhole. The obtained results of the studied values were analyzed and a conclusion was given about the causes of the incident associated with the sticking of the pipe string.
New color changing sorption material for effective removal of heavy metals from wastewater
Authors: Kambarova Elmira A. , Bektenov Nesiphan A. , Bazarbaeva Karlygash Zh. , Mazhibayev Assylzhan K. , Bolysbekova Saltanat M. , Gavrilenko Mikhail A.
Published: March 2024

Relevance. The need to purify water resources from Me(II) cations. Obtaining effective and cheap sorbents is one of the priority areas for water purification for various purposes. Namely, the sorbents, allowing the detection and adsorbing heavy metal cations in drinking or tap water and, at the same time, systematic monitoring of water quality in the environment. Aim. Synthesis of sorption material for effective removal of Me(II) cations from wastewater, study of the main parameters of new sorption material. Objects. Shanghai natural zeolite and its forms modified with polyethylene polyamine, 1,2-pyridylazonaphthol and epoxy resin (ED-20). Methods. Spectrophotometry. Results. A sorbent is proposed based on a combination of a surface layer of polyethylene polyamine, 1,2-pyridylazonaphthol and ED-20 epoxy resin, which is then successfully immobilized on zeolite for adsorption of metal cations Me(II)) from water. The synthesized sorbent makes it possible to diagnose its own efficiency by color changing of the surface after sorption of Me(II) cations. Competing cations of alkali and alkaline earth metals (water hardness salts) do not interfere with the adsorption of Me(II) cations. The maximum sorption capacity was 220 mg/g, which is comparable to other common sorbents. The sorbent also demonstrated the possibility of reuse after 10–12 cycles of desorption and regeneration of the color-forming component 1,2-pyridylazonaphthol. Desorption was carried out using 0.20 M HCl, then the sorbent was ready for being used without significant loss of its characteristics after washing with water. Restoration of the ability to color change was achieved by treating the sorbent in a 10–3 M aqueous solution of 1-(2-pyridylazo)-2-naphthol for 10 minutes.
Comparative analysis of two-dimensional and three-dimensional modeling of heat transfer during operation of a gas infrared heater indoor
Authors: Borisov Boris V. , Vyatkin Alexander V. , Maksimov Vyacheslav I. , Nagornova Tatiana A.
Published: March 2024

Relevance. It is proposed to heat local work areas with systems based on gas infrared heaters, capable of directing radiative heat flow to reduce heating costs in large premises. However, the widespread use of gas infrared heaters is hampered by the existing difficulties with the preliminary assessment of convective-radiative heat flows movement, on which the number and location of heating devices depends. The preliminary assessment is complicated by the need in some cases for 3D modeling of complex physical processes. It is necessary to evaluate the possibility of replacing labor-intensive 3D modeling with a method for calculating a heating system using gas infrared emitters based on a 2D approach to reduce the time spent on calculations. Aim. To prove that the use of a two-dimensional model of the processes under consideration makes it possible to obtain the main characteristics of the thermal regime of the premises, making it possible to replace spatial modeling. Objects. Heating system with a light-type gas infrared heater and an air exchange system. Methods. Two-dimensional and three-dimensional mathematical modeling of conjugate heat transfer processes using the finite element method. Mathematical modeling was carried out in the COMSOL Multiphysics software environment using the modules: “Heat Transfer Interface in Liquids”, “Radiation between Surfaces” and “Turbulent Flow, k-ε Interface”. Results. The article presents the results of mathematical modeling performed in three-dimensional and two-dimensional formulations. The distribution of temperatures in the air and enclosing structures, as well as the flow lines of heated air and air, which was heating, in the volume of the premise are presented. The results of two-dimensional and three-dimensional modeling were compared. Satisfactory similarity of the calculated average air temperatures in the local working area was established based on the results. The difference was less than 2℃ for different spatial modeling approaches.
The gender dimension of social mood in modern Russia: the experience of historical and sociological analysis
Authors: Milivanova Marina
Published: March 2024

Social mood is the most developed phenomenon of sociological theory and practice, the consideration of which is important for assessment and expertise in times of crises and obvious social changes. Social mood is considered as a phenomenon and an integral characteristic of the perception of life in society, the state of the human spiritual world, an integral form of life perception, the dominant of a really functioning social consciousness and behavior. To identify the gender characteristics of social positions, a primary analysis of the data of the All-Russian sociological monitoring "How are you, Russia?" (1992-2022) during the crisis and turning points of three decades of the modern history of Russia was carried out– 1993, 2001, 2008, 2014, 2022, The data of the research institute "Precariat: a new phenomenon in the socio-economic structure of society" are involved (RNF No.18-18-00024). The empirical basis for the secondary analysis was the data of the All-Russian centers for sociological research, statistical information, and publications in the media in current periods. A comparison of respondents' responses to problems, their prioritization in the opinions of women and men allowed us to identify dominant events, emerging new combinations of crisis phenomena of economic, political, and spiritual orders in the development of Russian society at mega-, meso-, and microlevels. The conclusion is made about the presence of common constants in the social positions of 1993, 2001, 2008, 2014, 2022, the stable reaction of society with the designation of the main problems of high cost of living, crime, social stratification. The situation of gender communities in the periods under review is characterized by an insufficient "safety cushion", alienation from a power resource, differences in assessments of social expectations about a woman's happiness from the point of view of men and women themselves, and the presence of gender-sensitive problems for both women and men.
The role of the Russian population in the sociocultural integration of peoples North Caucasus: demographic dynamics and perceptions student youth of the Stavropol Territory
Authors: Denisova Galina , Avdeev Evgenij , Vorobev Sergej
Published: March 2024

The article is devoted to the role of the Russian population in the sociocultural integration of the North Caucasus. The declining sociocultural status and negative migration and demographic dynamics of the Russian population of the North Caucasus have a negative impact on the further development of the region. The risks of reducing the role of Russian culture and weakening the mental basis of Russian sociocultural identity are increasing. Based on a sociological analysis of integration processes in the region, the sociocultural significance of Russians as bearers of the basic institutions of Russian culture and statehood in the process of Soviet and post-Soviet modernization is highlighted. The main reasons for the outflow of the Russian population in the 1980-1990s and the ongoing decline in its number are revealed. Based on a sociological survey, a positive assessment by young people of the contribution of the Russian population to the modernization of the North Caucasus, their positive ideas about the basic features of the national character of Russians living in the North Caucasus, a high degree of integration of young people around the main socio-cultural symbols of all-Russian identity were determined. According to respondents, the main reasons for the outflow of Russians from their region are the lack of prospects for development and self-realization, poverty and unemployment, clanism and corruption. The decline in the Russian population is not perceived by most young people as a significant problem. A high degree of coincidence of positive assessments by respondents of different ethnic groups of the contribution of the Russian population to the development of the North Caucasus was revealed, a significant degree of coincidence was established between the self-description of the communicative ethnic characteristics of Russian respondents and their perception by respondents from among the North Caucasian peoples. The results of the study confirm a steady trend towards strengthening interethnic integration among young people in the North Caucasus region.
WORK LIFE BALANCE AS MEDIATOR BETWEEN FINANCIAL WELL-BEING AND TURNOVER INTENTION: MODERATED BY WORK SECTOR OF EMPLOYEES IN CENTRAL LUZON, PHILIPPINES
Authors:   Associate Professor IV, Don Honorio Ventura State University, Bacolor, Philippines, Ponio Juris C.
Published: March 2024

The mediating role of work life balance on the relationship between financial well-being and turnover intention was investigated in this study. Moreover, the possible moderation of work sector was explored. The respondents include the millennial workforce from private and public organizations in Central Luzon, Philippines. The research utilized quantitative approach to assess the relationships between the variables. To quantify the responses, adopted instrument was used and distributed to respondents. The respondents were chosen using purposive sampling design. Data gathered were treated using Partial least square – structural equation modelling (PLS-SEM) through WarpPls 8.0 software. The findings revealed that significant effects were observed on the following: financial well-being on work life balance; work life balance on turnover intention; and financial well-being on turnover intention. Moreover, work life balance was found to partially mediate between financial well-being and turnover intention. However, the moderating effect of work sector on the relationships of the variables was found to be not statistically significant. Given the finding of the study, conclusions were drawn and recommendations were provided to address the issues.
CONSTRUCT GUARD
Authors:   Computer Science and Business Systems, Sri Sairam Engineering College, Chennai, India, R Priyanka
Published: March 2024

Construction sites still have safety issues, which has led to the creation of cutting-edge. The Proposed Solution is Smart wearable bands and helmets equipped with a variety of sensors for tracking employee health and safety. The technology, which is supported by a connected wearable belt, continuously tracks worker location and health parameters. An advanced accelerometer detects workers' standing positions, triggering instant notifications to contractors in the event of dizziness. A Spo2 sensor enhances total health surveillance by monitoring oxygen and pulse rates in addition to the foregoing. This proposed system transcends traditional safety protocols, presenting a dynamic and proactive approach to worker well-being. By leveraging advanced sensor technologies and location-based intelligence, our smart wearables provide real-time health insights and prompt alerts during health compromises or accidents.
Participatory and Place-Based Socioeconomic Knowledge Generation: An Experience in Community-Based Research Pedagogy
Authors: Palka Jessica
Published: March 2024

This article uses fieldnotes along with student and practitioner feedback to recount the challenges, benefits, and broader learnings of engaging master’s students in a participatory research seminar. The students developed research proposals about a real-world socioeconomic challenge with and for local practitioners. Proposals were consistent with the principles and practices of participatory action research (PAR). The planning, implementation, and assessment of this course was informed by feminist scientific philosophies of collaboration, situatedness, partiality, accountability, and a sensitivity to power dynamics. In line with both PAR and SoTL principles, there was an explicit emphasis on partnership, reflexivity, and broad forms of learning in both the classroom and practitioner meetings. The students were challenged by the unfamiliarity of the research approach, the need to navigate a new way of working directly with stakeholders, as well as the responsibility to the community that participatory approaches espouse. Despite the challenges, the students were eager to soak up local knowledges, reflect on their role as researchers, and contribute constructively if they could.
Kümeleme ve Veri Zarflama Analizi Entegrasyonu: İSO 500 deki Tekstil Firmalarının Performans Değerlendirmesi (Clustering and Data Envelopment Analysis Integration: Performance Evaluation of Textile Companies in ISO 500)
Authors: Özdemir Aydın , Can Sağlam Yeşim
Published: March 2024

Amaç –Hızla globalleşen dünyada, işletmelerin etkin ve verimli çalışmasını sağlamak kritik önem taşımaktadır. Etkin ve verimli çalışmanın yolu ise sürekli performans değerlendirmesi yaparak belirlenen hedefler doğrultusunda iyileştirmeler yapmakla mümkündür. Bu çalışmanın amacı, İstanbul Sanayi Odası (İSO) 500 listesinde yer alan tekstil firmalarının performans yönetiminde etkinliklerini ölçmektir.Yöntem –Analiz için seçilen işletmelerin performans yönetimindeki etkinlikleri, ölçeğe göre değişken getiri varsayımı altında hem girdi yönelimli hem de çıktı yönelimli Veri Zarflama Analizi modelleri yardımıyla analize tabi tutulmuştur. Literatür incelemeleri sonucunda üç girdi değişkeni (çalışan sayısı, özkaynak, aktif toplam) ve 3 çıktı değişkeni (üretimden satışlar, FAVÖK, ihracat) belirlenmiştir. Veri Zarflama Analizi sonrasında k-means ortalamalar algoritması kullanılarak Kümeleme Analizi yapılmıştır.Bulgular –Benzer özelliklere sahip işletmeler kümelendirildikten sonra, Veri Zarflama Analizi yardımıyla etkin ve etkin olmayan firmalar belirlenmiştir. Etkinliklerini arttırabilmeleri için etkin olmayan firmalara hangi girdi ve çıktı değişkenlerinde iyileştirme yapmaları gerektiği konusunda önerilerde bulunulmuştur.Tartışma –İşletmeler en az girdi bileşeni ile en fazla çıktı elde etmeye çalışarak sürekli performanslarını arttırmak istemektedir. Bu çalışmada literatür doğrultusunda girdi ve çıktı değişkenleri belirlenerek, Tekstil sektöründe faaliyet gösteren işletmelerin etkinlikleri belirlenmiştir. Yapılan analizler işletmelere hangi faktörlerde iyileştirmeler yaparak performanslarını arttırabilecekleri konusunda yardımcı olmaktadır
BIST de İşlem Gören Dokuma Giyim İşletmelerinin Copras Yöntemi İle Finansal Performanslarının Değerlendirilmesi (Evaluation of Financial Performance of Textile Apparel Businesses Traded on BIST Using The Copras Method)
Authors: Arslan Öznur
Published: March 2024

Amaç –Dokuma giyim sektörü, gerek ekonomiye sağladığı katkı gerekse istihdam üzerindeki olumlu etkisi nedeniyle ülkelerin ekonomik kalkınmalarında önemli bir yere sahiptir. Bu nedenle dokuma giyim şirketlerinin finansal performanslarını ölçmek yöneticiler, yatırımcılar ve sektörde yer alan diğer şirketler açısından oldukça önemlidir. Bu çalışmada Borsa İstanbul’a kayıtlı dokuma giyim sektöründe faaliyet gösteren işletmelerin finansal performanslarının değerlendirilmesi amaçlanmıştır.Yöntem –BIST’te işlem gören dokuma giyim şirketlerinin bilanço ve gelir tabloları verileri kullanılarak finansal performans göstergesi olarak seçilen finansal oranlar“Cari Oran, Asit-test Oranı, Nakit Oran, Finansal Kaldıraç Oranı, Aktif Karlılık Oranı, Özkaynak Karlılığı, Stok Devir Hızı ve Alacak Devir Hızı”2020, 2021 ve 2022 yılları için ayrı ayrı hesaplanarak ve her bir yıl için şirket performanslarına göre ÇKKV yöntemlerinden COPRAS yöntemi ile analiz edilmiştir.Bulgular –2020 yılı için yüksek performansa sahip işletme (BLCYT); 2021 yılında (ARSAN); 2022 yılında tekrar (BLCYT) olurken en düşük performansa sahip işletme 2020’de (KRTEK);2021’de (YUNSA); 2022’de (ATEKS) işletmesi olmuştur. Tartışma –Bundan sonraki çalışmalarda farklı ÇKKV yöntemleri kullanılarak karşılaştırmalı analizler yapılması konuya katkı sağlayacaktır. Ayrıca yıllar itibari ile değişen koşullar nedeniyle bu tür çalışmaların yapılması, yani sektörlerdeki şirketlerin performanslarının sistematik olarak ölçülmesi ve değerlendirilmesi, karar vericilerin önlemler alması konusunda yardımcı olacaktır
Meaningfully Averaging Unbounded Functions
Authors: Krishnan Bharath
Published: March 2024

In this paper we want meanignfully average an "infinite collection of objects covering an infinite expanse of space". For any n∈ ℕ, set A⊆ℝⁿ and set B⊆ℝ where (A,P) is a Polish space, we illustrate this quote with an everywhere, surjective function f∶A→B. The problem is no meaningful expected value of f (e.g., w.r.t the Lebesgue or Hausodorff measure) on Borel sets has a finite value, since the graph of f in any n-dim. interval which covers a subset of A×B has countably infinite points. (The Hausdorff measure of countably infinite points is +∞, where the expected value of f is undefined due to division by infinity.) To fix this, we need the most generalized and "meaningful" expected value; however, consider the following issue. Suppose for n∈ ℕ, set A⊆ℝⁿ and function f∶A→ℝⁿ. If set A is Borel; B* is the set of all Borel measurable function in ℝᴬ for all A⊆ℝⁿ, and B** is the set of all f∈B* with a finite-valued expected value—w.r.t the Hausdorff measure—then B** is a shy subset of B*. Hence a "positive measure" of Borel measurable functions needs to have a finite expected value to increase the chance that everywhere, surjective f:A→B has a finite expectation. To fix this issues, we wish to find a unique and "natural" extension of the expected value—w.r.t the Hausdorff measure—on bounded functions to unbounded/bounded f, which takes finite values only, so B** is a non-shy subset of B*. Note, we haven't found evidence suggesting mathematicians have thought of this problem; however, it's assumed, in general, there's no meaningful way of averaging functions which cover an infinite expanse of space. Note, we haven’t found evidence suggesting mathematicians thought of this problem; however, it’s assumed, in general, there’s no meaningful way of averaging functions which cover an infinite expanse of space. Regardless, we’ll choose a sequence of bounded functions using a "choice function". Note, we find the "choice function" using a question with criteria in §2.4. Also, in §3 and §4, we attempt to answer this question that should "choose" a sequence of bounded functions that a) meaningfully averages everywhere, surjective functions and b) obtains a finite average from a "positive measure" of Borel measurable functions.
Rethinking Energy Conservation and Generation for Sustainable Solutions-An Innovative Energy Circuitry Approach
Authors: Kimuya Alex Mwololo
Published: March 2024

This paper introduces an innovative energy circuit that challenges conventional understandings of energy conservation, marking a significant departure from traditional frameworks. Seeking to enhance energy generation within existing paradigms, this innovation holds promise for addressing pressing global issues such as the energy crisis and environmental sustainability, while also stimulating scientific inquiry. In contrast to prevalent misconceptions rooted in philosophical and scientific constraints, this study refutes the notion of generating energy from nothing and questions the viability of perpetual motion machines as conceptual models. Instead, it proposes a novel circuit design derived from an unconventional electrical short circuit, which is shown to disrupt the established principles of energy conservation. This circuit offers a transformative approach with diverse applications, including self-recharging capabilities for electric vehicles, bolstering microgrid infrastructure, and facilitating the integration of renewable energy sources. Transcending conventional scientific boundaries, this paper prompts philosophical reflections on the evolving nature of scientific exploration. Ultimately, the energy circuit represents a pivotal step towards mitigating the global energy crisis by reducing reliance on finite resources and fostering sustainability. The paper concludes by illustrating the circuit's potential to revolutionize energy systems and contribute to a more resilient and sustainable future.
An Evolutionary Theory on Virus Mutation in COVID-19
Authors: Luo Liaofu , Lv Jun
Published: March 2024

With the rapid evolution of SARS-CoV-2, the emergence of new strains is an intriguing question. This paper presents an evolutionary theory to analyze the mutations of the virus and identify the conditions that lead to the generation of new strains. We represent the virus variants using a 4-letter sequence based on amino acid mutations on the spike protein and employ an n-distance algorithm to derive a variant phylogenetic tree. We show that the theoretically-derived tree aligns with experimental data on virus evolution. Additionally, we propose an A-X model, utilizing the set of existing mutation sites (A) and a set of randomly generated sites (X), to calculate the emergence of new strains. Our findings demonstrate that a sufficient number of random iterations can predict the generation of new macro-lineages when the number of sites in X is large enough. These results provide a crucial theoretical basis for understanding the evolution of SARS-CoV-2.
Effectiveness of Using AI Driven Hotspot Mapping for Active Case Finding of Tuberculosis in South-Western Nigeria
Authors: Alege Abiola , Hashmi Sumbul , Eneogu Rupert , Meurrens Vincent , Budts Anne-Laure , Pedro Michael , Daniel Olugbenga , Idogho Omokhoudu , Ihesie Austin , Potgieter Matthys , Akaniro Obioma Chijioke , Oyelaran Omoshalewa , Charles Mensah Olalekan , Agbaje Aderonke
Published: March 2024

Background Nigeria is among the top 5 countries that have the highest gap between people reported as diagnosed and estimated to have developed Tuberculosis (TB). To bridge this gap, there is a need for innovative approaches to identify geographical areas at high risk of TB transmission and targeted Active Case Finding (ACF) interventions. Leveraging community level data together with granular sociodemographic contextual information can unmask local hotspots which could be otherwise missed. This work evaluated if this approach helps to reach communities with higher numbers of undiagnosed TB. Methodology A retrospective analysis of the data generated from an ACF intervention program in 4 south-western states in Nigeria was conducted. Wards (the smallest administrative level in Nigeria) were subdivided into further smaller population clusters. ACF sites and their respective TB screening outputs were mapped to these population clusters. This data was then combined with open-source high resolution contextual data to train a Bayesian inference model. The model predicted TB positivity rates on the community level (population cluster level), and these were visualised on a customised geoportal for use by the local teams to identify communities at high risk of TB transmission and plan ACF interventions. The TB positivity yield (proportion) observed at model-predicted hotspots was compared with the yield obtained at other sites identified based on aggregated notification data. Results The yield in population clusters that were predicted to have high TB positivity rates by the model was at least 1.75 times higher (p-value <0.001) than the yield in other locations in all four states. Conclusion The community level Bayesian predictive model has the potential to guide ACF implementers to high TB positivity areas for finding undiagnosed TB in the communities, thus improving efficiency of interventions.
Effects of Childcare Hands-On Gardening on Preschoolers’ (3-5 Years) Physical Activity in Semi-Arid Climate Zone
Authors: Monsur Muntazar , Hefner Tristen , Van Allen Jason , Trina Nazia Afrin , Andalib S Y , Cosco Nilda
Published: March 2024

How hands-on gardening impacts behaviors including healthy eating and physical activity during early childhood can be of critical importance for preventing early onsets of obesity. This research investigates how participating in hands-on gardening impacts preschoolers’ (3-5 years old) physical activity (measured by accelerometers) in childcare centers in the Semi-Arid Climate Zone. The research was conducted in eight licensed childcare centers located in West Texas with 149 children (n=149). Four childcare centers in the experimental group received hands-on garden interventions; the other four in the control group did not. In both experimental (intervention) and control (non-intervention) centers, children wore Actigraph GT3X+ accelerometers continuously for 5 days before and for 5 days after intervention (a total of 10 days). Results show that the duration of sedentary behavior of children in the experimental (intervention) group significantly decreased compared to children in the control (non-intervention) group. The finding suggests that the positive effects of childcare hands-on gardening on physical activity extend to semi-arid climate zones where gardening is challenging due to high temperatures and lack of annual rainfall. The research emphasizes the critical need to incorporate hands-on gardening in childcare centers as an obesity prevention strategy nationally in the U.S. and beyond.
Testing of Biological Products: A Review of Alternative Non-microbiological Techniques for Mycobacterial Testing
Authors: Marius Marine , Fernandez Clothilde
Published: March 2024

Mycobacteria can be one of the main contaminants of biological products, and their presence can have serious consequences on patients’ health. Thus, specific testing is necessitated by regulations such as the European Pharmacopoeia. The current pharmacopeial reference i.e., microbial culture method cannot ensure an exhaustive detection of mycobacteria due to their growth characteristics. Additionally, the method is time-consuming and requires a continuous supply of culture media, which could be further challenging. Thus, to overcome these challenges, pharmaceutical industries need to consider alternative non-microbiological techniques to detect these fastidious, slow-growing contaminating agents. This review provides an overview of alternative methods, which could be applied within a quality control environment of biological products, and underlines advantages and limitations of these methods. Nucleic acid amplification techniques or direct measurement of mycobacteria stands out as the most suitable alternatives for mycobacterial testing in biological products.
Systemic Financial Risk Forecasting: A Novel Approach with IGSA-RBFNN
Authors: Tian Yishuai , Wu Yifan
Published: March 2024

Accurate measurement of systemic financial risk is critical to maintaining the stability of financial markets. Taking China as the subject of investigation, the Chinese Financial Stress Index (CFSI) indicator system was con-structed by integrating six dimensions and employing Gray Relation Analysis (GRA) for dimensionality reduction of the indicators. The CFSI was derived using the Attribute Hierarchy Model (AHM) method with the Criteria Importance Through the Intercriteria Correlation (CRITIC) method, and an Improved Gravitational Search Algorithm (IGSA) optimized Radial Basis Function Neural Network (RBFNN) was proposed for out-of-sample prediction of CFSI trends from 2024 to 2026. By analyzing the trend of financial pressure indicators, the relationship between financial pressure and economic activity can be effectively identified. The research findings indicate that: (1) The CFSI is capable of accurately reflecting the current financial stress situation in China; (2) The IGSA-RBFNN demonstrates good robustness and generalization capabilities, predicting that the CFSI index will reach a peak value of 0.543 by the end of 2024, and there exists a regular pattern of stress rebound towards the end of each year. The novel methodology benefits policymakers and regulatory authorities to formulate preventive measures and risk management by identifying potential risks and vulnerabilities in advance.
The Potential Impact of Rising Sea Levels and Subsidence on Coastal Flooding Along the Northern Coast of Saint-Louis, Senegal
Authors: CISSE Cheikh Omar Tidjani , BREMPONG Emmanuel K , ALMAR Rafael , ANGNUURENG Bapentire Donatus , SY Boubou Aldiouma
Published: March 2024

In today's context of rising sea levels and subsiding land topography, coastal flooding is a major concern for coastal areas, both nationally, regionally, and internationally. A detailed understanding of these two phenomena is a prerequisite for effective coastal flood management. The main objective of the present study is to contribute to the understanding of the impact of subsidence and sea-level rise on coastal flooding in Saint-Louis, and in particular the Langue de Barbarie, by producing a vulnerability map of submerged surfaces. To this end, the Synthetic Aperture Radar (SAR) interferometry technique is used to process a time series of Sentinel-1 images and estimate land subsidence in the Saint-Louis and Langue de Barbarie area. Interferometric SAR (InSAR) measurements are merged with RCP 2.6 sea-level rise scenarios to identify predicted flooded areas and provide a flood vulnerability map. At the Langue de Barbarie, topographic subsidence is estimated at between -6.4 and -0.4mm/year. In this study, we show that local land subsidence may increase vulnerability to flooding caused by sea-level rise based on 2100 projections. This may represent an increase in the flood zone in the study area. Based on the RCP 2.6 scenario and the subsidence rates obtained, a significant part of the St. Louis coastline and city would be subject to coastal and fluvial flooding for the years 2040 and 2100. For these dates, 29 to and 36 Km2 of the studied area would be occupied by water. Given this situation, research in Saint-Louis needs to focus on adaptation scenarios to coastal risks, to protect coastal communities and safeguard the city's historical heritage.
Pivotal Role of Artificial Intelligence in Cardiovascular Health: Highlights from the Late Breaking Trials at the AHA Scientific Sessions 2023
Authors: Srikanth Sashwat , Mondal Avilash , Aggarwal Sanjana , Alle Naga Ruthvika , Odugbemi Olufemi , Desai Rupak
Published: March 2024

Cardiovascular diseases (CVDs) remain the leading cause of mortality. Traditional approaches to diagnosing and treating CVDs often involve interpretation, which can lead to errors. The emergence of Artificial Intelligence (AI) and Machine Learning aids the management of CVDs. AI examines amounts of data and identifies patterns offering solutions for disease detection, risk prediction, and patient care. The American Heart Association's 2023 Scientific Sessions (AHA23) showcased studies that highlight AIs potential to revolutionize cardiac healthcare. This article presents a review of these cutting-edge studies exploring how AI is applied in health, the outcomes of these applications, and their implications for clinical practice. The insights gained from this review will contribute to the discussion on AI's role in healthcare and its capacity to enhance outcomes.
Transcriptomic Analyses Reveal the Effects of Walnut Kernel Cake on Adipose Deposition in Pig
Authors: Liu Lei , Shang Xiaodan , Ma Li , Yan Dawei , Adetula Adeyinka Abiola , Bai Ying , Dong Xinxing
Published: March 2024

With the rising cost of animal feed protein, finding affordable and effective substitutes is crucial. Walnut kernel cake, a polyphenols, fiber, protein and fat-rich byproduct of walnut oil extraction, has been underexplored as a potential protein replacement in pig feed. In this study, we found that feeding large Diqing Tibetan pigs walnut kernel cake promoted adipose deposition and improved pork quality during pig growth. Transcriptome analysis revealed the upregulation of genes ANGPTL8, CCNP, ETV4, and TRIB3, associated with adipose deposition. Pathway analysis highlighted enrichment in adipose-deposition-related pathways, including PPAR, Insulin, PI3K-Akt, Wnt, and MAPK signaling. Further analysis identified DEGs (differentially expressed genes) positively correlated with adipose-related traits, such as PER2 and PTGES. Single-cell transcriptome data pointed to the specific expression of CD248 and PTGES in adipocyte progenitor/stem cells (APSCs), pivotal for adipocyte differentiation and adipose deposition regulation. This study demonstrates walnut kernel cake's potential to substitute soybean cake in pig feed, providing high-quality protein and promoting adipose deposition. It offers insights into feed protein replacement, human functional food, fat metabolism, and related diseases, with marker genes and pathways supporting pig breeding and pork quality improvement.
A Review of Attention Restoration Theory: Implications for Designing Restorative Environments
Authors: Liu Yiwen , Zhang Junjie , Liu Chunlu , Yang Yang
Published: March 2024

Abstract: The promotion and development of healthy cities are vital for enhancing human habitats and fostering sustainable economic growth. Based on the core database of Web of Science and the knowledge graph software, this paper makes a quantitative analysis of the literature related to attention recovery abroad. It is found that in recent years, the research on attention recovery has developed rapidly, the number of related literature has been increasing, and the research content presents the characteristics of interdisciplinary integration. By further analyzing the characteristics of research literature, research context, and knowledge basis, this paper summarizes the empirical research based on the existing quantitative analysis, reviews the research field based on the mechanism of attention recovery, and analyzes the development process and trend based on the research basis of attention recovery. Due to the change of modern life style, human health problems are becoming more and more prominent. Attention restoration design provides a new research idea and method to balance the relationship between humans and the urban environment.
Defucosylated Anti-CD44 Monoclonal Antibodies Exert Antitumor Activities against Esophageal Tumor Xenograft
Authors: Ishikawa Kenichiro , Suzuki Hiroyuki , Ohishi Tomokazu , Ohkoshi Akira , Kaneko Mika K , Katori Yukio , Kato Yukinari
Published: March 2024

CD44 is a type I transmembrane glycoprotein, which is associated with poor prognosis in various solid tumors. Since CD44 plays critical roles in tumor development by regulating cell adhesion, survival, proliferation, and stemness, it has been considered a target for tumor therapy. Anti-CD44 monoclonal antibodies (mAbs) have been developed and applied to antibody-drug conjugates and chimeric antigen receptor-T cell therapy. We previously developed anti‐pan-CD44 mAbs, C44Mab-5 and C44Mab-46, which can recognize both CD44 standard (CD44s) and variant isoforms. In the present study, a defucosylated mouse IgG2a version of the anti-pan-CD44 mAbs (5-mG2a-f and C44Mab-46-mG2a-f) was generated to evaluate the antitumor activities against CD44-positive cells. Both 5-mG2a-f and C44Mab-46-mG2a-f recognized CD44s-overexpressed CHO-K1 (CHO/CD44s) cells and esophageal tumor cell line (KYSE770) in flow cytometry. Furthermore, both 5-mG2a-f and C44Mab-46-mG2a-f could activate effector cells in the presence of CHO/CD44s cells and exhibited the complement‐dependent cytotoxicity against both CHO/CD44s and KYSE770 cells. Furthermore, the administration of 5-mG2a-f and C44Mab-46-mG2a-f significantly suppressed CHO/CD44s and KYSE770 xenograft tumor development compared with the control defucosylated mouse IgG2a. These results indicate that 5-mG2a-f and C44Mab-46-mG2a-f could exert antitumor activities against CD44-positive cancers and could be a promising therapeutic regimen for tumors.