bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH PRODUK DOMESTIK BRUTO (PDB), INFLASI, BI RATE DAN KURS RUPIAH TERHADAP INDEKS HARGA SAHAM GABUNGAN (IHSG) (Studi Pada Bursa Efek Indonesia Periode Januari 2011–Desember 2020)
Authors: Laraswati Febriani 
Published: February 2024

ABSTRAK
Penelitian ini bertujuan untuk mengetahui pengaruh secara parsial dan simultan variabel Produk Domestik Bruto (PDB), Inflasi, BI Rate dan Kurs Rupiah terhadap variabel Indeks Harga Saham Gabungan (IHSG) pada Bursa Efek Indonesia Periode Januari 2011 – Desember 2020. Jenis penelitian yang digunakan adalah data kuantitatif dengan melakukan uji Regresi Linear Berganda dengan software Eviews for Windows Versi 10. Sampel dalam penelitian ini menggunakan teknik sampel jenuh dengan populasi yaitu IHSG yang terdapat di BEI dengan data bulanan selama periode Januari 2011 sampai Desember 2020 sehingga total terdapat 120 sampel. Hasil penelitian ini menunjukkan bahwa variabel PDB, BI Rate dan kurs rupiah secara parsial berpengaruh signifikan terhadap IHSG. Sedangkan variabel inflasi secara parsial berpengaruh tidak signifikan terhadap IHSG. Secara simultan, variabel PDB, inflasi, BI Rate dan kurs rupiah berpengaruh signifikan terhadap IHSG.Kata kunci : Produk Domestik Bruto (PDB), Inflasi, BI Rate, Kurs Rupiah, dan Indeks Harga Saham Gabungan (IHSG)
The Effect of Drum Dryer Temperature and Rotational Speed on the Characteristics of Finger Millet (Eleusine coracana) Based Weaning Food Enriched with Composite Flour
Authors: Hidayat Dadang D. , Sagita Diang , Utami Shilfie R. , Andriansyah Raden C. E. , Rahayuningtyas Ari , Darmajana Doddy A. , Herminiati Ainia , Taufik Yusman 
Published: February 2024

Abstract
Finger millet or red millet is a source of carbohydrates, protein, and phytonutrients that have not been widely used. This has the potential to be used as an ingredient in making bread and porridge. However, the protein content of millet is insufficient for infant feeding and deficient in essential amino acids like lysine, so other ingredients are needed. This study contrasted composite flour dried at various temperatures and rotational speeds with millet-based supplementary feeding. Finger millet flour, red bean, skimmed milk powder, sugar, and salt were used to produce the weaning meal in that sequence. The dough-to-water ratio is 1 : 4. Organoleptic, physical, and chemical interactions were all considered. The experiment used a randomised block design with three replications and a 3 × 3 factorial pattern. The study discovered that drum dryer temperature impacted chemical, physical, and sensory responses (p <0.05). Temperature had a more significant influence on moisture content than rotational speed. Temperature above 120 °C results in lower moisture content at rotation higher than 1.0 min−1 and meets the criteria for instant porridge (lower than 4%). Lower moisture content at higher temperatures leads to increased protein concentration, but carbohydrates and fats remain relatively constant. The samples more preferred by the panellists were samples processed at higher temperature with rotation above 1.0 min−1. So, this value is recommended, apart from fulfilling the standard criteria, processing with higher rotational speed can increase the output capacity of the process.
On the quasi-efficient frontier of the set of optimal portfolios under hybrid uncertainty with short sales allowed
Authors: Rogonov Stepan A. , Soldatenko Ilia S. , Yazenin Alexander V. 
Published: February 2024

Abstract
The paper describes the methods for constructing a quasi-efficient frontier of minimum risk portfolio under conditions of hybrid uncertainty with allowed short sales. Investor’s acceptable level of expected return is defined in crisp and fuzzy forms. Obtained results are illustrated on a model example. The dependence of the quasi-efficient frontier on the value of α -level is investigated.
Fuzzy trading system on the forex market for deriving the portfolio of instruments
Authors: Juszczuk Przemys law , Kruś Lech 
Published: February 2024

Abstract
Decision support and trading systems for the forex market mostly derive a single signal for the decision-maker. This is so, because instruments are evaluated based on a single criterion, which creates a ranking of instruments, from which the best one is selected. At the same time, one can observe a lack of tools allowing one to derive the set of non-dominated trading opportunities considered in the multicriteria space.
This article focuses on multicriteria analysis, in which several different market indicators describe a single instrument on the forex market (currency pair), leading to definite criteria. Thus, for a given time horizon, we consider a set of currency pairs described by a group of technical market indicators in every trading session. However, instead of deriving crisp information, based on the buy-no buy binary logic, we use concepts from the fuzzy sets theory, in which each criterion for a single variant takes a value from the 〈0, 1〉 interval. We select only the non-dominated variants from such a set, which will be used as elements of the portfolio of currency pairs on the forex market.
We test our idea on the real-world data covering more than ten years, several technical market indicators, and over twenty different currency pairs. The preliminary results show that the proposed idea can be treated as a promising concept for deriving a portfolio of currency pairs instead of focusing on only a single currency pair.
Estimating and testing relations and trees on the basis of pairwise comparisons
Authors: Klukowski Leszek 
Published: February 2024

Abstract
The paper presents an ample account on author’s results, concerning the methods of estimating and testing of relations (equivalence, tolerance, preference) and trees on the basis of multiple pairwise comparisons with random errors, which are presented in a new book, Klukowski (2021c). The book contains also main results presented earlier in Klukowski (2011). The new content pertains mainly to: the preference relation with incomparable elements, trees and tests for verification of estimates of the relations. The estimators and tests have good statistical properties; estimators - consistency with good convergence, tests - known distributions of test statistics (exact, limiting or approximate). Some properties of estimates (precision and convergence) have been determined using the simulation approach. The results here reported gain in significance in view of the renewed interest in practical application of pairwise comparisons in various application domains, which give rise to various concrete data analysis problems.
The Use of Momentum-Inspired Features in Pre-Game Prediction Models for the Sport of Ice Hockey
Authors: Noel Jordan T.P. , Fonseca Vinicius Prado da , Soares Amilcar 
Published: February 2024

Abstract
We make a unique contribution to momentum research by proposing a way to quantify momentum with performance indicators (i.e., features). We argue that due to measurable randomness in the NHL, sequential outcomes’ dependence or independence may not be the best way to approach momentum. Instead, we quantify momentum using a small sample of a team’s recent games and a linear line of best-fit to determine the trend of a team’s performances before an upcoming game. We show that with the use of SVM and logistic regression these momentum- based features have more predictive power than traditional frequency-based features in a pre-game prediction model which only uses each team’s three most recent games to assess team quality. While a random forest favors the use of both feature sets combined. The predictive power of these momentum-based features suggests that momentum is a real phenomenon in the NHL and may have more effect on the outcome of games than suggested by previous research. In addition, we believe that how our momentum-based features were designed and compared to frequency-based features could form a framework for comparing the short-term effects of momentum on any individual sport or team.
Probiotic supplementation as an alternative to antibiotics in broiler chickens
Authors: Tomczyk Grzegorz , Niczyporuk Jowita Samanta , Kozdruń Wojciech , Sawicka-Durkalec Anna , Bocian Łukasz , Barabasz Marcin , Michalski Marcin 
Published: February 2024

Abstract

Introduction
The broiler chicken digestive tract microbiome maintains the bird’s immunity. Its composition has been shown to be important not only for the immune system but also for the gastrointestinal function and productivity of broiler chickens. If the microbiome is populated by supplementation with Lactobacillus, Pediococcus and Saccharomyces spp. – microorganisms with probiotic properties and alternatives to antibiotics – the immune system is stimulated. The use of probiotic supplements in the broiler production cycle can boost bird immunity and prevent adenovirus infection. The resilience of broiler chickens in different feeding schemes including supplementation with these microorganisms was assessed.

Material and Methods
Four groups of Ross 308 chickens vaccinated on the standard scheme were investigated over 42 days. Group P received probiotics, prebiotics and vitamins; group AO received antibiotics; group P&AO received probiotics, prebiotics, vitamins and antibiotics; and the control group C received none of these. The birds’ immunocompetence against common viral poultry pathogens and their immune response to an experimental challenge with a field strain of infectious bronchitis was evaluated by ELISA and production parameters were recorded.

Results
Mortality was only observed in the control group and was 10%. All birds from the P, P&AO and AO groups responded to the challenge as would be expected of appropriately immunised chickens.

Conclusion
The obtained results indicated that supplementation with synbiotic products and vitamins can enhance broiler chicken immunity and result in better production parameters.
Potential of Advanced Technologies for Environmental Management Systems
Authors: Sira Mariya 
Published: February 2024

Abstract
Environmental management systems (EMS) are essential in promoting sustainable practices and mitigating the adverse effects of human activities on the environment. As technology continues to advance, there is an increasing opportunity to utilize advanced technologies to improve environmental management systems. This article examines the potential of different advanced technologies, such as artificial intelligence (AI), blockchain, big data, and the Internet of Things (IoT), within the context of environmental management systems. This article intends to offer valuable insights to researchers, practitioners, and policymakers by examining the potential uses of AI, blockchain, big data, and IoT in environmental management systems. The goal is to demonstrate how these advanced technologies can be leveraged to enhance sustainability, boost environmental performance, and yield favourable environmental results across different sectors and industries.
The Multi-Skilled Resource-Constrained Project Scheduling Problem: A Systematic Review and an Exploration of Future Landscapes
Authors: Bahroun Zied , As’ad Rami , Tanash Moayad , Athamneh Raed 
Published: February 2024

AbstractThe Multi-skilled Resource Constrained Project Scheduling Problem (MS-RCPSP) is a complex and multi-faceted problem that involves scheduling activities whilst considering various resource constraints. These constraints include limited availability of workers, equipment, and materials, with each activity requiring a minimal set of skills to be executed. Furthermore, for a better resemblance to reality, workers/machines are assumed to be multi-skilled/multi-purpose posing another dimension of complexity to the problem. The objective is to minimize project duration, cost, or other relevant criteria while accounting for the inherent resources flexibility. This paper provides a systematic review of the literature pertaining to MS-RCPSP, and an in-depth analysis of 171 papers published between 2000 and 2021 inclusive. The conducted bibliometric analysis identifies the top contributing authors, most influential papers, existing research tendencies, and thematic research topics within the field. In addition, this review highlights different aspects of the MS-RCPSP, spanning the significance of performance measures, solution approaches, application areas, and the incorporation of time constraints. While project completion time, cost, and tardiness are common performance indicators, other measures such as multi-skilled staff assignment and schedule robustness are also deemed important. Although various methods have been employed to solve the MS-RCPSP including exact and approximate approaches, the selection of the most-suited approach depends on the problem’s scale, complexity, and constraints, necessitating careful consideration of each method’s strengths and weaknesses. Interestingly, several studies have jointly addressed resource and time constraints in the context of MS-RCPSP, often considering tardiness, and have proposed different algorithms, models, and metaheuristics to tackle these challenges. This paper clearly highlights research gaps and promising avenues for future research. This work provides valuable insights for project managers to effectively schedule tasks in the presence of multiple flexible resources.
New Refugee Status Advisory Committee Guidelines on Refugee Definition and Assessment of Credibility, February 20, 1982
Authors: Refuge Editor  
Published: February 2024

It is recognized that no two refugee claims are the same. Each Committee member will use his or her best judgement in arriving at a recommendation in an individual case. Nevertheless, the discretion which is exercised by Committee members is circumscribed in two significant respects. The first involvesthe legal definition of a "Convention Refugee" as found in the Immigration Act,1976. The second involves the "spirit" of interpretation of which the Minister desires in the application of this definition. In this respect, members should bear in mind that they have been appointed to provide recommendations to the Minister and are not, in law, performing a decision- making function. While the Committee is independent of Employment and Immigration Canada, it is subordinate to the Minister.
Which Remote Rehabilitation Interventions Work Best for Chronic Musculoskeletal Pain and Depression? A Bayesian Network Meta-Analysis
Authors: Bobos Pavlos , Pereira Tiago V. , Pouliopoulou Dimitra V. , Charakopoulou-Travlou Mariana , Nazari Goris , MacDermid Joy C. 
Published: February 2024

OBJECTIVE: To evaluate the effectiveness of remote rehabilitation interventions for people living with chronic musculoskeletal pain and depression. DESIGN: A systematic review with network meta-analysis (NMA) of randomized controlled trials. LITERATURE SEARCH: We searched the Cochrane Central Register of Controlled Trials, CINAHL, EMBASE, LILACS MEDLINE, PSYNDEX, and PsycINFO databases from inception to May 2023. STUDY SELECTION CRITERIA: Randomized controlled trials that evaluated the effectiveness of remote rehabilitation interventions in people with chronic musculoskeletal pain and depression. DATA SYNTHESIS: We used Bayesian random-effects models for the NMA. Effect estimates were comparisons between rehabilitation interventions and waitlist. We performed a sensitivity analysis based on bias in the randomization process, large trials (>100 patients per arm) and musculoskeletal condition. RESULTS: Fifty-eight randomized controlled trials involving 10 278 participants (median sample size: 137; interquartile range [IQR]: 77–236) were included. Interactive voice response cognitive behavioral therapy (CBT; standardized mean difference [SMD] -0.66, 95% credible interval [CrI] -1.17 to -0.16), CBT in person (SMD -0.50, 95% CrI -0.97 to -0.04), and mobile app CBT plus exercise (SMD -0.37, 95% CrI -0.69 to -0.02) were superior to waitlist at 12-week follow-up for reducing pain (> 98% probability of superiority). For depression outcomes, Internet-delivered CBT and telecare were superior to waitlist at 12-week follow-up (SMD -0.51, 95% CrI -0.87 to -0.13) (> 99% probability of superiority). For pain outcomes, the certainty of evidence ranged from low to moderate. For depression outcomes, the certainty of evidence ranged from very low to moderate. The proportion of dropouts attributed to adverse events was unclear. No intervention was associated with higher odds of dropout. CONCLUSION: Interactive voice response CBT and mobile app CBT plus exercise showed similar treatment effects with in-person CBT on pain reduction among people living with chronic musculoskeletal pain and depression had over 98% probability of superiority than waitlist control at 12-week follow-up. Internet-delivered CBT and telecare had over 99% probability of superiority than waitlist control for improving depression outcomes at 12-week follow-up. J Orthop Sports Phys Ther 2024;54(6):361-376. Epub 26 February 2024. doi:10.2519/jospt.2024.12216
Economically important traits of tilapia of different initial weight when feeding with “Agro-Matik”
Authors: Берестнев И.И.©. , Петров А.С. , Есавкин Ю.И. , Буряков Н.П. 
Published: February 2024

Работа проведена на базе кафедры кормления животных, в аквариальном комплексе лаборатории прудового рыбоводства ФГБОУ ВО «РГАУ–МСХА им. К. А. Тимирязева», входящей в состав межкафедрального учебно-научного центра биологии и животноводства. Опытным материалом служила молодь нильской тиляпии (Oreochromis niloticus), полученная от одной самки. Выращивание проводили в установке оборотного водообеспечения, оборудованной блоком механической очистки с ежедневной сменой воды на 10–20%. Молодь кормили в соответствии с общепринятой технологией выращивания. Корм задавали вручную четыре раза в сутки, визуально контролируя поедаемость. Приведены результаты применения комбикорма «Агро-Матик» при выращивании молоди тиляпии разной начальной массы. В результате комплексных исследований установлено, что потребление кислорода меньше у крупных особей на 29% по сравнению с мелкими особями и на 21% — со средними особями. В целом за весь период исследований у крупных особей скорость роста (коэффициент массонакопления, Км) на 2,8% превысила показатель средней группы, а мелкие особи уступали средним на 9,9%. Экономическая эффективность использования корма «Агро-Матик» по разности рыбопродукции (кг/м3) составила +2880–2952 руб./м3. Стоимость корма на 1 кг прироста снизилась на 125,5 и 126,1 руб./кг у крупной и средней молоди по сравнению с мелкими особями, что позволило сократить период выращивания тиляпии до массы 250 г на 20–60 суток и увеличить продолжительность реализации товарной продукции, полученной из одной генерации, на 3 месяца.
This investigation was carried out at the aquarium complex of the Laboratory of Pond Fish Farming (Department of Livestock Feeding of the Russian Timiryazev State Agrarian University) which belongs to the Interdepartmental Educational and Research Center of Biology and Animal Husbandry. The experiment tested young fish of Nile tilapia (Oreochromis niloticus) from one female. The fish grew in a water recycling system equipped with a mechanical purification unit under a daily water change of 10–20%. A feeding procedure was standard and happened four times a day manually under regular observation. This article presents the results on the impact of the “Agro-Matik” feed on young fish of different initial weight. The large individuals required less oxygen than the small and average ones by 29 and 21%, respectively. In general, the large fish exceeded the average one in weight gain by 2.8% while the latter exceeded the small individuals in the same trait by 9.9%. The economic efficiency of “Agro-Matik” amounted to 2880–2952 RUB/m3. The costs of feed per 1 kg dropped by 125.5 and 126.1 RUB/kg when feeding the large and average individuals versus the small ones, reducing the period of tilapia growth up to 250 g by 20–60 days and increasing the sale duration of products from one generation by 3 months.
Creating an Innovative Business Model for the Performance of Commercial Dental Clinics
Authors: Kostyrin Evgeniy V. , Bagdasaryan Grigoriy G. 
Published: February 2024

Providing dental care to the population is associated with the active introduction of new technologies, personnel management methods, and business processes. In this sense, dentistry is at the forefront of the development of medicine and other economic sectors. However, the active practical implementation of advanced technologies for the provision of dental services requires personnel to have increased motivation and highly qualified labor, to develop new protocols for patient management, and to use more advanced equipment and materials, while administrative and management personnel should introduce progressive methods of labor motivation and economic and mathematical models of material and moral stimulation. This research aims to create an innovative business model for the development of a commercial dental clinic (CDC) that provides paid dental services. Economic and mathematical modeling and nonlinear programming are aimed at maximizing dentists’ wages, together with financial incentives for the work of administrative and managerial personnel and deductions for the development of a typical commercial dental clinic in Moscow based on the actual volume of dental services and the costs of their provision. With the volume of paid dental services growing by one and a half times, the innovative business model makes it possible to increase clinic income by a factor of 1.66 and dentists’ salaries by a factor of 2.24, raise deductions for labor incentives for administrative and managerial personnel by a factor of 1.66, and increase total profit by a factor of 1.75. During the research, it was possible to ensure early repayment of a loan of 5 million rubles for clinic development in 21 months. Additional research is needed because of the possible variability of the dental market and lending conditions. Doi: 10.28991/HIJ-2024-05-01-05 Full Text: PDF