bluuebunny/crossref_metadata_2025 huggingface dataset:
Volatility Spillover in the Turkish Financial Market: A QVAR Analysis
Authors: Özdemir Hüseyin
Published: March 2024

Purpose –The volatility spillover is crucial matter for policy makers and portfolio managers to understand risk transmission between financial markets to understand where potential loss and risk comes from. In this research, it is aimed to investigate the tail risk spilloveramong the BIST-100 stock index, TR 10-year bonds, USD-TL exchange rate, gold futures, and Brent petroleum in Türkiye.Design/Methodology/Approach –The quantile vector autoregressive(QVAR) model, recommended by Ando et al., (2022),is used in this study. The QVAR model is proposed method in the literature to capture the tail risk spillovers from very low to very high volatility in financial markets. The data is weekly frequency and spans from January 28, 2010, to December 8, 2023. The weekly volatility data is obtained from a formula that utilize daily maximum and minimum prices as described in Diebold and Yilmaz (2012). Findings –The output of this study indicates that the volatility spilloversbetween related markets differs across different quantiles. Other results reveal that stock, bond, and currency markets are net risk spillovers during extremely low and moderately volatile periods, but gold and oil are net risk receivers. However, USD/TL is the only risk-transmitter in times of excessive volatility. Moreover, the time-varying spillover analysis shows that the total spillover index hit records during the COVID-19 outbreaks.Discussion –The output of this study confirms the findings of previous studies that find the spillover index does not remain constant over different quantiles. The output of this study provides crucial insights to finance authorities and investors on the nature of market risk and strategies for its management.
Son ZAManlarda Tüketici Davranışları (Consumer Behaviors Lately)
Authors: Koşar Alaiddin , Yağcı Avni Can
Published: March 2024

Amaç –Tüketici davranışlarının ekonomik faktörlerden çok fazla etkilendiği düşünüldüğünde son zamanlarda çoğu ürüne gelen zamların tüketici davranışlarında da değişikliklere yol açması muhtemeldir. Bu araştırmada 2022 yılının ilk yarısında yapılan zamların tüketici davranışları üzerindeki etkisini incelemek amaçlanmıştır.Yöntem –Araştırma, nitel araştırma desenlerinden biri olan durum çalışması çerçevesinde şekillendirilmiştir. Bu çerçevede zamların, tüketiciler üzerinde yaratmış olduğu etkiler derinlemesine incelenmiştir. Araştırma kapsamında amaçlı örnekleme yöntemlerinden biri olan ölçüt örnekleme kullanılmıştır. Örneklem, Mersin İli’nde ikamet eden, farklı demografik özelliklere sahip 10 kişiden oluşmaktadır. Bulgular –Tüketicilerin alım güçlerinin düştüğü, farklı ürün kategorilerinde tasarrufa gittikleri, yapılan maaş ve ücret zamlarının etkisinin hissedilmediği gibi bulgulara ulaşılmıştır. Tartışma –2022 yılının ilk yarısında mal ve hizmetlere gelen periyodik zamlar, tüketicilerin alım güçlerini düşürmüş, 2022 yılı Temmuz ayında maaş ve ücretlere yapılan zamlar alım gücünü arttırmaya çare olamamış, tüm bunların sonucunda tüketiciler kendi çabaları ile tasarruf yolları arayışına girmiştir.
Person-Supervisor Fit and Organizational Identification: The Mediating Role of Organizational DNA
Authors: Konakay Gönül , Mercanlıoğlu Ayşe Çiğdem , Dede Ezgi , Sağlam Hande , Vatansever Durmaz İsmet Burçak
Published: March 2024

Purpose-This study has examined unique relationships between person-supervisor fit and organizational identification and the mediating effects of organizational DNA between these two variables. Design/Methodology/Approach-Survey data were obtained from a sample of 575 individuals working in different companies and departments with different job types. Findings-The results revealed that person-supervisor fit, organizational DNA, and organizational identification significantly correlated. Structural equation modeling was conducted to test the mediating effect of organizational DNA. The results indicate that an individual’s perceptions of organizational DNA profiles can mediate the relationship between person-supervisor fit and organizational identification. Discussion-The study highlights the significant impact of "person-supervisor fit" and "organizational DNA" on fostering a workforce aligned with organizational goals and objectives under managerial supervision. According to the findings, enhancing organizational DNA may offer managers a viable avenue for improving employees' organizational identification.
Örgütler Arası Ağlar İle İlgili Çalışmaların Bibliyometrik Analizi (Bibliometric Analysis of Studies on Inter-Organizational Networks)
Authors: Çeti Buse , Ünlüönen Kurban
Published: March 2024

Amaç –Bu araştırmada örgütler arası ağlar ile ilgili gerçekleştirilen bilimsel çalışmalara ilişkin genel bir çerçeve sunulması amaçlanmaktadır. Aynı zamanda örgütler arası ağlar ve turizm konularını birlikte ele alan çalışmaların mevcut durumunun belirlenmesi de amaçlanmaktadır.Yöntem –Araştırmada performans analizi ve bilim haritalaması teknikleri kullanılarak bibliyometrik analiz gerçekleştirilmiştir. Veriler WoSCC (Web of Science Core Collection) veri tabanından elde edilmiş ve analizler kapsamında VOSviewer yazılım aracından yararlanılmıştır.Bulgular –Araştırmada örgütler arası ağlar ile ilgili gerçekleştirilen çalışmaların sayısının yıllara göre gösterdiği değişim tespit edilmiştir. Konu hakkında en fazla çalışma gerçekleştiren yazarlar ile gerçekleştirilen çalışmalarda en sık kullanılan anahtar kelimeler belirlenmiştir. Örgütler arası ağlar ve turizm konularını birlikte ele alan çalışmalar çeşitli bibliyometrik ölçütler açısından değerlendirilmiştir. Tartışma –Örgütler arası ağlar ile ilgili çalışmaların sayısının artış eğiliminde olduğu tespit edilmiştir. Ancak konunun birçok açıdan henüz hiç ele alınmadığı veya az sayıda çalışmada ele alındığı görülmüştür. Özellikle örgütler arası ağlar ile turizm konularını birlikte inceleyen çalışmaların arttırılmasının turizm olgusuna daha fazla açıklık getireceği düşünülmektedir. Bununla birlikte konu ile ilgili uluslararası literatüre düşük düzeyde katkı sağlayan Türkiye’nin daha fazla çalışma üretmesinin faydalı olabileceği ifade edilebilir.
Defining a novel method to undertake sectoral risk management under climate change: a case study of intermodal transportation in the Peel Region, Ontario, Canada
Authors: Rahim Muhammed Ahsanur , Wilson Jeffrey , Johnson Ryan
Published: March 2024

All levels of government must prepare for an increase in adverse weather events related to climate change. Developing resilient transportation infrastructure is critical to minimizing disruptions, economic loss, and human health impacts. A challenge for national and regional governments, however, is understanding how to prioritize investments given risk levels and limited resources. This study proposes a framework, using the Region of Peel, Canada as a case study to identify and prioritize key risks in a critical economic sector for the region: intermodal goods movement. The framework integrates projected changes in weather patterns, estimating the damage to infrastructure, interruption of economic activity, and adverse impacts on the workforce, accounting also for impacts on communities, for sound policy formulation. The framework will underpin a data collection plan to inform future policy and investment in strengthening adaptation and resilience to the most likely hazards affecting goods movement. The framework was designed with a view to being easily adapted to other sectors and regions.
SLEEP QUALITY AND RELATED FACTORS IN INDIVIDUALS AGED 20 AND OVER APPLYING TO PRIMARY HEALTH CARE CENTERS IN MANISA
Authors: Buran Zeynep Ceyda , Özyurt Beyhan
Published: March 2024

ABSTRACT

Objective: This cross-sectional study aimed to evaluate the prevalence of poor sleep quality and to identify related factors among adults. Methods: This study was among adults aged ≥20 years registered at Primary Health Care Center in August-September 2022. Primary outcome was sleep quality, which was assessed by Pittsburgh Sleep Quality Index (PSQI). Secondary outcomes were sociodemographic, lifestyle, health characteristics, sleep-related factors, anxiety-depression. Chi-square test for categorical variables was used in univariate analysis, logistic regression models in multivariate analysis was used. SPSS version 23.0 was used for analysis, type-1 error accepted as 0.05. Results: Participant’s average age was 40.98±13.68 years. 34.6% of participants had poor sleep quality. 12.7% of them had abnormal level anxiety while 8.5% had abnormal level depression. Between total PSQI score and anxiety-depression, there was a moderate positive correlation (r=.375,p
Mapping of Public Approach towards COVID-19 Vaccine for Preparedness and Resilience of Emerging Threats to Facilitate Cross-Country Systematic Roll-Out of Resources
Authors: Sarkar Jaimini , Sarkar Chiradeep
Published: March 2024

Background: Vaccine hesitancy was one of India's problems after the COVID-19 vaccine roll-out. Earlier studies carried out to understand people's perception of the vaccine were mainly based on online or offline community-based surveys. These studies do not help to understand the actions taken by people towards vaccination. Hence, this study has been designed to understand the exact behavior of people toward the vaccine. Methods: Age-wise, the population was sub-grouped into three groups, above 18 years, 12-14 years, and 15-18 years. The data analysis has been done using cumulative coverage of vaccines in the said age groups. Results: The study shows a substantial population has missed second and booster doses of vaccine at the state, regional, and national levels in all three age groups. Even for the states that have shown the smallest number of people who missed their dose, their number is in the thousands. Conclusion: Further research is needed to know, in total population, how many people have not even taken a single dose of vaccine. Policy-level efforts are needed to cover the entire population of the country for at least a single dose and vulnerable populations, for additional booster doses after primary doses.
A Preliminary Study to Understand the Microbial Composition of Fresh Panchagavya Preparation
Authors: Funde Snehal S , Palep Hanpanthrao S , Shouche Yogesh S
Published: March 2024

Fecal Microbial Transplant (FMT) has been emerging as a prominent therapeutics in the modern science to modulate and correct the dysbiotic state of gut microbiome that leads to various metabolic and gastro-enteric diseases. A similar concept called as “panchagavya prasahan” exists in Ayurveda. This technique unlike the FMT involves the use of Cive by- products of cow viz. Cow dung, urine, milk, curd, ghee mixed in a copper vessel. In this study we assess the microbial composition of this preparation before and after the mixing in the copper vessel. We used the 16S rRNA gene based amplicon sequencing approach to understand the bacterial composition in the panchagavya preparation. We observed signiCicant decrease in the abundance of genera Pseudomonas and Streptococcus (p
Applied Category Theory in the Wolfram Language using Categorica I: Diagrams, Functors and Fibrations
Authors: Gorard Jonathan
Published: March 2024

This article serves as a preliminary introduction to the design of a new, open-source applied and computational category theory framework, named Categorica, built on top of the Wolfram Language. Categorica allows one to configure and manipulate abstract quivers, categories, groupoids, diagrams, functors and natural transformations, and to perform a vast array of automated abstract algebraic computations using (arbitrary combinations of) the above structures; to manipulate and abstractly reason about arbitrary universal properties, including products, coproducts, pullbacks, pushouts, limits and colimits; and to manipulate, visualize and compute with strict (symmetric) monoidal categories, including full support for automated string diagram rewriting and diagrammatic theorem-proving. In so doing, Categorica combines the capabilities of an abstract computer algebra framework (thus allowing one to compute directly with epimorphisms, monomorphisms, retractions, sections, spans, cospans, fibrations, etc.) with those of a powerful automated theorem-proving system (thus allowing one to convert universal properties and other abstract constructions into (higher-order) equational logic statements that can be reasoned about and proved using standard automated theorem-proving methods, as well as to prove category-theoretic statements directly using purely diagrammatic methods). Internally, Categorica relies upon state-of-the-art graph and hypergraph rewriting algorithms for its automated reasoning capabilities, and is able to convert seamlessly between diagrammatic/combinatorial reasoning on labeled graph representations and symbolic/abstract reasoning on underlying algebraic representations of all category-theoretic concepts. In this first of two articles introducing the design of the framework, we shall focus principally upon its handling of quivers, categories, diagrams, groupoids, functors and natural transformations, including demonstrations of both its algebraic manipulation and theorem-proving capabilities in each case.
The Clique Width of Two Classes of Series-Parallel Digraphs
Authors: Quaddoura Ruzayn
Published: March 2024

The concept of graphs with clique-width at most was first introduced by Courcelle et al.to be the graphs that can be characterized using -expressions derived from graph operations that use labels of vertices. If the clique-width for some graph is bounded then a grand number of algorithmic problems, in general NP-hard, can be solved in polynomial time when restricted to this graph. This important fact motivated the researchers to prove that the clique-width of certain graphs is bounded. Following this research direction, we prove in this paper that the clique-width of series-parallel digraphs is at most 6 and we present an time algorithm to construct a 6-expression for this class of digraphs. In another part, we present a linear time recognition algorithm for a similar class of series-parallel digraphs and prove that the clique-width of this class is at most 3.
Optimizing Attribute Reduction in Multi-granularity Data through a Hybrid Supervised-Unsupervised Model
Authors: Fan Zeyuan , Chen Jianjun , Cui Hongyang , Song Jingjing , Xu Taihua
Published: March 2024

Attribute reduction is a core technique in the rough set domain and an important step in data preprocessing. Researchers have proposed numerous innovative methods to enhance the capability of attribute reduction, such as the emergence of multi-granularity rough set models, which can effectively process distributed and multi-granularity data. However, these innovative methods still have many shortcomings, such as how to deal with complex constraints and how to perform multi-angle effectiveness evaluations. Based on the multi-granularity model, this study proposes a new method of attribute reduction, namely using multi-granularity neighborhood information gain ratio as the measurement criterion. This method combines both supervised and unsupervised perspectives, and by integrating multi-granularity technology with neighborhood rough set theory, constructs a model that can adapt to multi-level data features. This model can select the optimal granularity level or attribute set according to the requirements. Finally, the proposed method is experimented with on 15 UCI datasets against six other attribute reduction algorithms. The experimental outcomes, upon analysis and comparative review, substantiate the reliability and consistency of the attribute reduction approach introduced in this study.
Exploring the Impact of Deep Learning Activities in the Mathematics Classroom on Students’ Academic Performance: A Comprehensive Study
Authors: Suglo Enoch
Published: March 2024

The study aimed to investigate the impact of incorporating deep learning strategies in mathematics instruction on students' problem-solving abilities, critical thinking skills, academic achievement, and mathematical skills development. The study population consisted of 280 students, with a sample size of 162 participants. Employing a purely quantitative approach, data collection utilized questionnaires and achievement tests as instruments. Data analysis involved simple linear regression, descriptive analysis, and Pearson correlation. The results of the study revealed that there was no significant enhancement observed in students' problem-solving abilities and critical thinking skills when deep learning strategies were incorporated into mathematics instruction. Additionally, students' attitudes towards deep learning activities in mathematics showed no effect on their academic achievement. Furthermore, students' engagement levels in deep learning activities did not impact their development of mathematical skills. Lastly, the frequency of deep learning activities in the mathematics classroom did not show a significant relationship with students' academic performance. These findings suggest that the implementation of deep learning strategies in mathematics instruction did not yield notable improvements in the specified areas based on the study outcomes.
Promising Algorithm Addressing the Mechanism and Charac-teristic Curves of Insulated Gated Bipolar Transistor (IGBT)
Authors: Yang Hsin-Chia , Chi Sung-Ching , Yang Pei-Jun , Huang Bo-Hao
Published: March 2024

Insulated Gate Bipolar Transistor (IGBT) may convey high current and sustain high breakdown voltages; it may provide high power control. In a sense, how IGBT demonstrates the capability of power control was not specifically described, and the equivalent bipolar junction transistors (BJT) activated by an applied bias to the insulated gate is intriguing. As seen in Figure 1, IGBT shows an equivalent circuit structure containing two types of BJT, (NPN-type Bipolar transistor and PNP-type Bipolar transistor), which can be modeled as diode-associated transistor. Apparently, as a bias applies to the controlling gate, the channel beneath the gate oxide gets strongly inversed and turns out to be conductive just like what happens on metal-oxide-silicon field effect transistor (MOSFET), which provides necessary igniting currents to both BJTs and thus causes high current gain flowing through them-selves from the bottom. A proposed and renewed formula provides addressing the above scenario and successfully fitting the measured data that forms the characteristic curves. Some parameters in the proposed formula, which includes size and mobility associated constant, threshold voltage, and Early-Voltage-related lambda for MOSFET, explain and explore the underlying physics. IGBT thus enjoy high input impedance and high current gain due to MOSFET (Insulated Gate) and BJT, respectively. This formula combines both merits of MOSFET and BJT in order to fit the measured data. Indeed, the formula intimately fits IGBT electrical characteristic curves, and thus may be qualified and served as a model. The new model is then advisable for designing power integrated circuit to exactly achieve power saving, power control, and power efficiency.
Kemampuan Teknik Guntingan Kategori Tanding Atlet Pencak Silat DKI Jakarta Pada Kualifikasi Pra PON 2020
Authors: Wardoyo Hendro , Fitranto Nur
Published: March 2024

Penguasaan kemampuan dasar pukulan, tendangan, tangkisan, serangan dan teknik serangan serta teknik jatuhan, khususnya teknik guntingan pada atlet-atlet khususnya Pesilat DKI Jakarta, dirasakan kurang maksimal. Penelitian ini bertujuan untuk menganalisis kemampuan teknik guntingan kategori tanding pada atlet pencak silat DKI Jakarta pada kualifikasi Pra PON 2020. Metode penelitian ini menggunakan metode deskriptif kuantitatif dengan teknik analisis documenter hasil rekaman video pada saat kualifikasi Pra PON 2020. Populasi penelitian ini adalah seluruh atlet pencak silat kategori tanding pada kualifikasi Pra PON 2020. Teknik pengambilan sampel dengan cara Purposive sampling. Dalam penelitian ini yang menjadi sampel yaitu 13 atlet yang memenuhi kriteria tertentu. Adapun kriteria yang dijadikan sebagai sampel penelitian yaitu:  atlet pencak silat DKI Jakarta yang ikut dalam kualifikasi pra PON, dan turun dalam nomor tanding. Instrumen yang digunakan dalam penelitian ini menggunakan kriteria keberhasilan dan kegagalan atlet dalam melakukan teknik guntingan. Hasil penelitian ini menyimpulkan bahwa: Atlet pencak silat DKI Jakarta belum berjalan optimal dalam melakukan teknik guntingan kategori tanding. Keberhasilan teknik guntingan yang mampu menghasilkan poin adalah sebanyak 58 atau 40,85%, sedangkan yang gagal menghasilkan poin adalah sebanyak 84 atau 59,15% pada teknik guntingan kategori tanding.

 Kata Kunci:    Teknik Guntingan, Pencak Silat

 ABSTRACT

Mastery of basic skills of punches, kicks, tanking, attacks and attack techniques as well as fall techniques, especially cutting techniques in athletes, especially Dki Jakarta Fighters, is felt less than maximum.This study aims to analyze the ability of cutting techniques in the category of match in athletes pencak silat DKI Jakarta in pre PON 2020 qualification.This research method uses quantitative descriptive method with documenter analysis technique of video recording results during Pre PON 2020 qualification.The population of this study is all athletes pencak silat competition category in the pre PON 2020 qualification.Sampling techniques by Purposive sampling. In this study, the sample was 13 athletes who met certain criteria.The criteria used as a research sample are: athletes pencak silat DKI Jakarta who participated in the pre PON qualification, and dropped in the number of matches.The instruments used in this study used the criteria for success and failure of athletes in performing cutting techniques.The results of this study concluded that: Athletes pencak silat DKI Jakarta has not run optimally in performing cutting techniques in the category of match.The success of the cutting technique that is able to earn points is as much as 58 or 40.85%, while the one that fails to produce points is as much as 84 or 59.15% in the match category cutting technique.

 Keyword: Cutting Techniques, Pencak Silat
Dampak Pembangunan Perumahan Terhadap Perubahan Kondisi Lingkungan Di Desa Palasari Kecamatan Legok Kabupaten Tangerang
Authors: Wahyu Ramadhan Wahyu Ramadhan , Moh. Balya Ali Sya'ban
Published: March 2024

Rapid population growth and regional development will affect environmental changes. These changes will inevitably have an impact on human life directly or indirectly, with positive results such as meeting human needs and local and regional economic growth, as well as negative results such as a decrease in environmental quality, the impact analysis method produces data obtained then presented in the form of tables, graphs and then described so as to produce information. The results show that in the period between 2010 - 2022 there has been a growth in housing development which resulted in a reduction in the use of rice fields with an area of 66.6 Ha out of a total of 170.0 Ha. In addition, water sources in the dry season have an impact on the community in the area around the housing after the development, In the analysis of total respondents showed 92% impact on land use, 86% impact on water sources, 59% impact on road conditions, 52% impact on drainage.
Prediksi Perkembangan Lahan Terbangun di Jabodetabek Hingga Tahun 2030 menggunakan Artificial Neural Network dan Cellular Automata
Authors: Danih Lesmana Arya , Sucahyanto  , B. Mataburu Ilham
Published: March 2024

Model hybrid yang banyak digunakan dalam studi prediksi spasial saat ini seperti markov chain, logistik linear dan lainnya, memiliki kelemahan dalam penentuan dan parameter yang sangat sensitif. Sehingga memerlukan banyak data, memakan waktu, dan tidak efisien. Karena itu diperlukan sebuah model yang baru yang dapat mengatasi lebih mudah, tidak memakan waktu dan lebih efisien. Dalam hal ini, peneliti mencoba model ANN untuk diterapkan dalam prediksi perkembangan lahan terbangun. Salah satu wilayah yang sudah sangat padat lahan terbangun adalah Jabodabek. Simulasi divalidasi menggunakan tutupan lahan terbangun 2020 dan menghasilkan akurasi simulasi sebesar 74 % untuk simulasi per 5 tahun dan 85,7 % untuk simulasi per 10 tahun. Perkembangan lahan terbangun di Jabodetabek mengalami peningkatan dan penurunan dari tahun 2000-2030. Perkembangan lahan terbangun Jabodetabek memberikan sebuah pembuktian akan beberapa teori geografi perkotaan yaitu perspektif kota sebagai organisme dan bentukan kipas Jakarta.
Sebaran Daerah Asal Pengunjung Virtual Tour Museum Nasional menggunakan Analisis Tetangga Terdekat
Authors: Putri Haviarini Cynthia , Hotimah Oot , Sya Ahman
Published: March 2024

Penelitian ini untuk mengetahui daerah asal pengunjung yang melakukan kunjungan ke Museum Nasional melalui virtual tour. Hal ini dikarenakan virtual tour merupakan terobosan baru bagi kegiatan wisata di Indonesia. Metode yang digunakan deskriptif pendekatan survei dengan teknik pengambilan sampel berupa accidental sampling melalui google form yang disebar melalui media sosial, seperti twitter, whatsapp group, komen kanal youtube Museum Nasional, dan instagram yang dimulai pada pada tanggal 26 Desember 2021 – 06 Januari 2022, yaitu sebanyak 42 orang dan pada tanggal 25 Juli – 30 Juli 2022, yaitu sebanyak 62 orang dengan total keseluruhan responden yang melakukan virtual tour ke Museum Nasional ialah 104 orang. Berdasarkan hasil yang didapatkan, Pengunjung yang melakukan virtual tour Museum Nasional, sebagian besar pengunjung berasal dari Provinsi DKI Jakarta, Jawa Barat, Jawa Tengah, Banten, dan Jawa Timur. Untuk menentukan sebaran pengunjung yang melakukan virtual tour Museum Nasional menggunakan Nearest Neighbor Analysis pada aplikasi ArcGIS dengan melakukan digitasi terhadap titik sebaran pengunjung (berdasarkan kabupaten/ kota) yang didapatkan sebanyak 27 titik dari kabupaten/ kota daerah asal pengunjung (104 responden penelitian) dengan hasil kategori sebaran dispersed atau seragam tersebar adalah 32,094.
Hubungan Antara Efikasi Akademik, Prokrastinasi Dan Kemandirian Belajar Dengan Hasil Belajar Geografi Siswa SMA Negeri Di Kota Malang
Authors: Nisa'i Choiriyah Zauharotu , Hari Utomo Dwiyono , Rosida Fatiya , Suharto Yusuf
Published: March 2024

Metode pembelajaran berubah karena Covid-19, pemerintah semula menetapkan pembelajaran daring menjadi pertemuan tatap muka terbatas menggunakan metode hybrid learning. Metode hybrid learning dalam pelaksanaan diperlukan tingkat efikasi akademik tinggi, menekan prokrastinasi dan tingkat kemandirian belajar tinggi. Tujuan penelitian ini untuk mengetahui hubungan antara (1) efikasi akademik dengan hasil belajar geografi siswa, (2) prokrastinasi dengan hasil belajar geografi siswa, (3) kemandirian belajar dengan hasil belajar geografi siswa dan (4) efikasi akademik, prokrastinasi dan kemandirian belajar dengan hasil belajar geografi siswa. Desain penelitian ini korelasional ex post-facto pendekatan kuantitatif. Teknik pengambilan sampel menggunakan teknik cluster sampling dengan rumus slovin dan diperoleh sampel sejumlah 244. Teknik pengumpulan data menggunakan angket dan dokumentasi. Hasil uji korelasi sederhana dan uji korelasi linier berganda masing-masing variabel independen menunjukkan terdapat hubungan dengan variabel dependen. Dengan mengetahui tingkat efikasi akademik, prokrastinasi dan kemandirian belajar siswa, dapat pula menjadi monitor penyebab yang mempengaruhi hasil belajar geografi siswa.
Public Perception of Waste Transportation in Ternate City
Authors: Amelia Risky , Rauf Ichsan , Gaus Abdul , Sultan Amir Mufti , Pasongli Hernita
Published: March 2024

The enviroment is something that is important for living things, especially humans. The enviroment is used by humans to meet the needs of life, if it does not take care of the enviroment properly it will cause enviromental problems. There are many environmental problems, one of which is the waste problem. The problem of waste is a problem that often occurs in urban areas, one of which is in the city of Ternate. The Ternate City Government needs tochoose the right solution to overcome the problems that occur due to waste, but before making a solution it is necessary to know how the public’s perception of waste transportation in Ternate City is. The research method is descriptive quantitative using a questionnaire distributed to respondents as a research instrument. The sampling technique used in this research is random sampling with a sample of 400 respondents in four districts in Ternate City. The sample of each sub-district amounted to 100 respondents. Data analysis using interpreted percentages. The results showed that the public’s perception of waste transportation in Ternate City was good.
The Influence of Attractions and Amenities on Revisit Intention at the Natural Tourism Object of the Hulu Dayeuh Trijaya Campground, Mandirancan District, Kuningan Regency
Authors: Rizqi Annisha  , Hotimah Oot , Munandar Aris
Published: March 2024

The Natural Tourism Object of the Hulu Dayeuh Trijaya Campground is a natural tourism object managed by the community and is an icon of Trijaya Village, Kuningan Regency. This tourist attraction was opened to the public in 2016 with problems related to the number of visits that fluctuated, which affected the village’s original income and the community welfare of Trijaya Village. This research aims to examine and analyze the influence of attractions and amenities on revisit intention at the Natural Tourism Object of the Hulu Dayeuh Trijaya Campground. The method used in this research is the quantitative descriptive approach processed using multiple linear regression analysis. The data collection technique was obtained by distributing questionnaires to 100 tourists at the research site. Based on the research results, the partial attractions variable and amenities variable significantly affect to revisit intention of tourists to the Natural Tourism Object of the Hulu Dayeuh Trijaya Campground. By proving the value of sig. <0.05 and the value of tcount > ttable, then H0 is rejected and Ha is accepted.
Could colour and volatile compounds be measurements of oxidation in horse meat?
Authors: Forte Lucrezia , De Palo Pasquale , Aloia Alessandra , Maggiolino Aristide
Published: March 2024

Predicting and, consequently, controlling oxidative phenomena is a big challenge for meat industry. Since color modifications and volatile compounds synthesis are processes closely linked to the oxidative reactions occurring in meat, oxidation could be measured through colorimetric parameters or some volatile compounds. A Spearman’s correlation analysis of oxidative parameters and enzymatic activity with colorimetric parameters and volatile profile was performed on horse steaks subjected to short (14 days) and long aging time (56 days). In long aging, TBARS were negatively correlated with redness (rs = -0.76, p < 0.001). Some volatile compound families, such as thiols, carboxylic acids, lactones, hydrocarbons and sulphur compounds, were well correlated with enzymatic activity (p < 0.001), contrary to aldehydes, alcohols and ketones. Higher correlation indexes were recorded in short aging, if compared to those found in long aging.
An innovative approach for analysing and evaluating enteric diseases in poultry farm
Authors: Borgonovo Federica , Ferrante Valentina , Grilli Guido , Guarino Marcella
Published: March 2024

Volatile organic compounds (VOCs) produced by pathogens, host-pathogen interactions and biochemical pathways are present everywhere such as in blood, breath, faeces, sweat, skin, urine, and vaginal fluids. Their qualitative and quantitative composition is influenced by pathophysiological responses to infections, toxins, or endogenous metabolic pathway perturbations. In poultry, VOCs analysis has been explored to evaluate air quality in sheds, but they have never been monitored to determine if birds were affected by enteric diseases. The enteric disorders represent one of the most important groups of diseases that affect poultry and cause illness, mortality, and economic losses. For this reason, monitoring the health status of broilers and the early detection of any health problem is of great importance in intensive farming, especially nowadays that antibiotics are banned. Precision Livestock Farming, through the combination of cheap technologies and specific algorithms, can provide valuable information for farmers starting from the huge amount of data collected in real time at farm level.
This study was aimed to the application of a PLF diagnostic tool, sensible to the variation of volatile organic compounds, to promptly recognize enteric problems recognize enteric problems (as coccidiosis and necrotic enteritis) in intensive farming, supporting veterinarians and enabling specific treatments in case of disease.
Detection of common adulterants in bulk bovine milk using fourier transformed mid-infrared spectroscopy
Authors: Guerra Alberto , Franzoi Marco , Vigolo Vania , Tosetto Enrico , De Marchi Massimo
Published: March 2024

Fourier transformed mid-infrared spectroscopy is a widespread method for routine analysis in milk. This method can also be used for the detection of adulterants in bovine milk which represent a current risk for dairy industries and public health. This work focuses on the detection of seven adulterants present in three known concentrations in bulk milk sample. The adulterants were: sodium bicarbonate, sodium chloride, hydroxyproline, glucose, sodium citrate, water, and urea. Partial least squares – discriminant analysis was used to develop statistical models to predict the presence of adulterants in milk samples. The obtained models could provide an easy, efficient, and rapid tool for the dairy industry to detect specific adulterants in milk.
Performance evaluation of a prototype for the defense against wolf attacks on livestock animals
Authors: Primi Riccardo , Viola Paolo , Girotti Pedro , Danieli Pier Paolo , Ronchi Bruno , Spina Raffaello
Published: March 2024

This study seeks to evaluate a prototype's effectiveness in safeguarding livestock against wolf attacks. With an increasing imperative to protect livestock from predation, the prototype's performance was systematically examined under diverse conditions. The study primarily aimed at assessing the prototype's ability to detect wolf attacks by analyzing noise variations inherent to predator assaults. Simultaneously, the prototype aimed to mitigate livestock casualties and foster coexistence between wolves and livestock. A series of controlled experiments were meticulously carried out, replicating real-world wolf encounter scenarios. The findings yield valuable insights into the prototype's practical utility and its potential to mitigate conflicts between predator populations and livestock farming. Overall, this research contributes to advancing innovative strategies for sustainable cohabitation between wildlife and agriculture.
Measurement of rheological properties in raw and cooked meat aged with a controlled dry-aging system
Authors: Di Paolo Marika , Polizzi Giulia , Vollano Lucia , Anastasio Aniello , Bifulco Giovanna , Lambiase Claudia , Cuomo Alessandro , Marrone Raffaele
Published: March 2024

Texture of meat is a critical parameter of consumer’s acceptability. In this regard, aging technology has become essential to enhance meat tenderness and flavour. The present study evaluated the effect of dry-aging on the rheological properties of cooked and raw meat (Longissiumus dorsi) using objective instrumental measurements: colorimeter (CIEL*a*b*), texture profile analysis (TPA-test) and Warner Bratzler shear force test (WBSF-test). In this study, a monitored refrigeration device was used for 60 days of dry aging of meat. Physical-chemical analyses were also evaluated on raw meat. The analyses were carried out at 2 (T0), 15 (T1), 30 (T2) and 60 (T3) days post-slaughter. During dry aging, aw values tended to decrease while the pH values increased. The mayor color changes occurred in the first 15 days of dry aging. As regard the texture traits, significant differences were found between the cooked and raw meat mainly due to the effect of temperatures on collagen. The correlation data showed significant positive correlations between WBSF and hardness values. Results showed that aging time and cooking tended to decrease the hardness and shear force implying more tender meat for the consumer.
Beneficial fungal microbes as novel ecosustainable tools for forage crops
Authors: Lotito Daria , Orazzo Gabriella , Matera Roberta , Musco Nadia , Staropoli Alessia , Vinale Francesco
Published: March 2024

Traditional approaches to protect agricultural crops are based on the use of chemical pesticides. Nevertheless, these products are costly, contaminate the environment and are harmful to animals and humans. Reduction or elimination of chemical applications in agriculture is extremely needed, and the application of biostimulants and biological control agents is an efficient alternative for an eco-sustainable agriculture. This study demonstrated that formulations based on fungi belonging to Trichoderma genus had beneficial effects on forage crops and significantly affected plant metabolome.
Validity of iPhone health application step count in semi free-living conditions
Authors: Judice Pedro , Fouto Jorge , Horta Miguel , Pereira Sara
Published: March 2024

The iPhone’s validity for measuring steps has been mainly investigated under laboratory conditions, while studies that include real-world conditions are still scarce. We examined the validity of iPhones in measuring steps in real-world walking conditions, while using direct observation with video as reference. A sample of 100 adults who owned an iPhone 5S or higher was included and participants were randomly allocated to one of two protocols. Limits of Agreement (LoA), Mean Absolute Percentage Error (MAPE), linear-regression and Bland-Altman analyses were carried out. In Protocol-1, which includes straight-line and zigzag conditions, we observed a low MAPE lower than 4%. Bland-Altman analyses assessed a high accordance of approximately 6 steps under both conditions. Differences between the iPhone and direct observation were only noticeable in straight-line condition (p = 0.002). Likewise, protocol-2 (three 50-step conditions: an upward 5 % slope, a flat surface, and a downward -5% slope) showed low MAPE values (3.78 %) for the upward slope, 2.41 % for the downward slope, and 2.37 % in absence of slope), and differences between the iPhone and direct observation were only observed for the downward slope (p = 0.017), with the iPhone overestimating. Our findings revealed that iPhone might be a reliable tool for monitoring walking in real-life conditions, however, downward slope seems to generate overestimation, which deserves future investigation.
Microbiome studies in veterinary field: communities’ diversity measurements pitfalls
Authors: Ala Ugo , Del Carro Angela , Giacobini Mario , Colitti Barbara , Rota Ada , Bertolotti Luigi
Published: March 2024

In recent years, the role of the microbiota has proved to be extremely important in medicine as one of the most important aspects for the characterization of living beings in both healthy and pathological conditions. Moreover, the development of shotgun technology, and in particular the cheaper 16S ribosomal RNA (rRNA) gene sequencing, made possible its wide diffusion. In veterinary sciences, microbiome studies have seen applications not only in medicine in the strict sense (e.g diagnosis) but also, for example, in food inspection (quality, fraud, etc.) and in animal feed preparation itself. However, focusing on microbial profiling by 16S rRNA sequencing, there are several crucial aspects to be considered: from the experimental design definition and the sample size problem to the data analysis steps. This latter involves several layers, e.g. which 16S rRNA databases to use, which metrics for alpha and beta diversity, etc. In this work, we want to present, as a case study, a critical discussion about the large number of alpha and beta diversity metrics and their impact in the statistical comparisons among groups.
WITHDRAWN: Tunable and High Transmission Efficiency Metal-Insulator-Metal Power Splitter and Dual Wavelength Division Multiplexer
Authors: Ghasemi Mohammad Reza , Bayati Mohammad Sajjad , Sahandabadi Sahereh
Published: March 2024

The full text of this preprint has been withdrawn, as it was submitted in error. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Identification of Model Based on Oxidative Stress-related Genes for Predicting Prognosis and Therapeutic Features in Bladder Cancer
Authors: Zhou* Dewang , Huang* Jianxu , Luo Weihan , Liu Yujun , Zheng Haoxiang , Wang Yongqiang , Zhu# Shimao , Du# Yang
Published: March 2024

Background: Bladder cancer is one of the most common malignant tumors, presenting as a heterogenous entity that requires a severe stratified strategy to enhance clinical decision-making and patient counseling. Multiple studies have investigated the relationship between oxidative stress and tumor progression, highlighting its potential role in cancer pathogenesis. Herein, our study aimed to establish a prognostic model based on the oxidative stress-related gene for risk stratification in bladder cancer.
Methods: Differentially expressed oxidative stress genes (oxidative stress DEGs) were identified using microarray and clinical data from the GEO database. Functional enrichment and survival analyses were performed in screened oxidative stress DEGs. A risk score model was constructed, and its diagnostic value and relationship with the prognosis as well as its sensitivity to chemotherapy and immunotherapy were verified through Cox regression, receiver operating characteristic curve and drug sensitivity analysis. The TCGA-BLCA cohort was set as the training cohort, GSE13507 and GSE32894 were used for external validation. A nomogram was constructed to facilitate the clinical application.
Results: The risk score model demonstrated a significant difference in overall survival between the high- and low-risk groups. The area under the curve and hazard ratio revealed the independent prognostic value of the model. There are differences in the sensitivity of chemotherapy and immunotherapy between the high- and low-risk groups.
Conclusions: Our findings provide a new prognostic model that can serve as a reliable reference for the prognosis and personalized therapy of patients with bladder cancer.
The Value of In-Person Contact in Clinical Trials: A Qualitative Study examining Patient Attitudes towards Trial Visits conducted at a Contract Research Organisation
Authors: Plaschkes Hannah , Furness Hugh , Ulbrich Johanna , Lorch Ulrike , Taubel Jorg , York Thomas
Published: March 2024

BACKGROUND
Decentralised clinical trials (DCTs) are those in which “some or all of a clinical trial’s activities can occur at locations other than a traditional clinical trial site”. The primary aim of this qualitative research was to establish whether a group of participants involved in patient studies at a London-based Contract Research Organisation (CRO) would prefer their trial visits to be conducted in an alternative location to the main clinical trial site. Secondary outcomes include identification of the main reasons behind participants’ preferences, whether this preference changed with the purpose of the study visit and whether patients’ perceived disease burden had an impact on their choice.
METHODS
Participants enrolled on patient studies at Richmond Pharmacology were surveyed when attending in-person outpatient appointments or inpatient stay admissions. Questionnaires assessed travel method to the unit, purpose of unit visit, patient perception of the utility of attending trials unit, the aspects of clinical trial participation which patients consider important and whether patients would have preferred an alternative method to conduct their visit. The EuroQol 5-Domain 5-Level descriptive system (EQ-5D-5L) was used to assess patients’ perceived disease burden.
RESULTS
145 questionnaires were included in the primary analysis. 66.0% of patients indicated a score of ≥ 8/10 when asked how beneficial they considered their in-person visit to the trials unit and the most cited reason (67.6%) for this response was ‘in-person review by a research doctor’. There was no significant difference observed with a change in the nature of the visit (screening, first dosing, subsequent dosing or follow-up appointment (p = 0.361)). Patient preference for clinical trials visits to be conducted on-site versus an alternative location demonstrated no clear relationship to perceived disease burden.
CONCLUSION
This study has demonstrated a clear overall preference for on-site visits amongst patients attending a CRO across a variety of patient studies, the main reason being that on-site visits facilitated an in-person review by a research doctor. This study suggests that trials conducted in a centralised format are of significant value to patients and therefore careful consideration of patient preferences needs to be accounted for in future clinical trial design.
Bilateral erector spinal block on opioid-sparing effect in upper abdominal surgery: study protocol for a bi-center prospective randomized controlled trial
Authors: Geng Changzhen , Wang Li , Shi Yaping , Zhao Hanyi , Huang Ya , Ji Qiufang , Dai Yuanqiang , Xu Tao
Published: March 2024

Background: Erector spinae plane block (ESPB) is a promising technique for effective analgesia. It is still uncertain if ESPB offers the same opioid-sparing effect as thoracic paravertebral block (PVB) in midline incision for upper abdominal surgery.
Methods: The study is a prospective, bi-center, randomized, controlled, non-inferior trial.158 patients scheduled for upper abdominal surgery were randomly assigned to receive bilateral ESPB or PVB before surgery. The primary outcome will be the equivalent cumulative analgesia dosage of sufentanil during the surgery, which was defined as the total dosage of sufentanil from anesthesia induction to tracheal extubation. The main secondary outcomes include postoperative complications and the quality of recovery-15 score at 24, 48h, and 30 days after surgery.
Discussion: This study will assess the opioid-sparing efficacy of ESPB and PVB, complications, and the quality of recovery of two blocks.
Trial registration: ClinicalTrials.govChiCTR2300073030. https://www.chictr.org.cn/Registered on 30 June 2023
WITHDRAWN: Does Information Literacy influence Intellectual Property among Liberians:The mediating role of Knowledge Management.
Authors: Kankam George , Yamson George Clifford , Appiah Antonia Bernadette , Kodi Richard
Published: March 2024

This research investigated the mediating effect of knowledge management on information literacy and intellectual property. A cross-sectional survey was conducted for data collection among librarians and students, recruited through a purposive sampling procedure and simple random sampling, from four selected universities in Ghana. The questionnaire was personally administered by visiting the selected libraries with written permission. A total of 573 survey responses were analyzed using confirmatory factor analysis and structural equation modeling (CB-SEM) to establish the relationship between knowledge management, information literacy, and intellectual property. The results show that knowledge management fully mediates the relationship between information literacy and intellectual property. Again, the study revealed that the information literacy of library staff had a direct and indirect but positive influence on intellectual property. This research would be a worthwhile contribution to the existing research on knowledge management as the mediated role of information literacy and intellectual property has fully not been examined so far.