bluuebunny/crossref_metadata_2025_split huggingface dataset:
PERGOLAKAN INISIATOR DAN TAWARAN METODE TAKHRIJ HADIS ANTARA AHMAD AL-GHUMARI DAN MAHMUD AL-TAHHAN
Authors: Yaqin Aennul 
Published: February 2023

Artikel ini membahas perdebatan seputar siapa perintis dari metode takhrij hadis. Tokoh yang diperdebatkan adalah antara Aḥmad al-Ghumārī dan Maḥmūd al-Ṭaḥḥān. Selain itu, artikel ini juga mendialogkan metode takhrij hadis yang ditawarkan keduanya. Hasil artikel ini menunjukkan bahwa perintis dari metode takhrij hadis adalah Aḥmad al-Ghumārī. Meskipun Maḥmūd al-Ṭaḥḥān mengklaim belum menemukan ada tokoh yang sudah menuliskan tentang metode takhrij hadis. Mengenai tawaran metode takhrij mereka, Aḥmad al-Ghumārī menyajikan tawarannya dengan dua cara, sedangkan Maḥmūd al-Ṭaḥḥān menyajikannya dengan lima cara.

Kata Kunci: Hadis, Takhrij, Aḥmad al-Ghumārī, Maḥmūd al-Ṭaḥḥān
Capsicum annuum L. (papryka roczna): Roślina o wyjątkowych związkach bioaktywnych, potencjale nutraceutycznym i fitoterapeutycznym. Praca przeglądowa
Authors: Nurzyńska-Wierdak Renata 
Published: February 2023

Capsicum annuum L. (papryka roczna) z rodziny Solanaceae jest najczęściej używaną przyprawą na świecie, wysoko cenioną ze względu na swoją ostrość i niepowtarzalny smak. Oprócz walorów przyprawowych roślina ta odznacza się także cennymi właściwościami leczniczymi, wynikającymi przede wszystkim z obecności kompleksu alkaloidów zwanych kapsaicynoidami, które nadają jej owocom specyficzne cechy: ostrość smaku oraz aktywność biologiczną. W owocach papryki znajdują się ponadto inne korzystne dla zdrowia składniki: karotenoidy (prowitamina A), witaminy C i E, flawonoidy, związki fenolowe i składniki mineralne. Najważniejszym i unikatowym składnikiem bioaktywnym owoców papryki jest kapsaicyna, odznaczająca się szeroką aktywnością biologiczną. Ze względu na jej obecność, owoce odmian o ostrym smaku definiowane są jako surowiec farmakopealny (Capsici fructus). Bogaty kompleks związków aktywnych papryki warunkuje jej działanie przeciwutleniające, a także inne aktywności biologiczne. Owoce papryki mogą być pomocne w chorobach neurologicznych, metabolicznych, sercowo-naczyniowych i onkologicznych.
Udział roślin zielarskich w zbiorowiskach segetalnych w dolinach rzecznych
Authors: Ługowska Maria , Skrajna Teresa , Tsos Oksana 
Published: February 2023

Celem podjętych badań była ocena porównawcza zasobów zielarskich w zbiorowiskach wykształcających się na polach uprawnych bezpośrednio sąsiadujących z korytami rzek Liwiec, Tyśmienica i Wilga oraz zbiorowiskami naturalnymi i półnaturalnymi. Ana-liza składu gatunkowego ziół dotyczyła pochodzenia geograficzno-historycznego, formy życiowej oraz części użytkowych jako surowca zielarskiego w zależności od odległości występowania od koryta rzeki na stałych powierzchniach. Obserwacje florystyczne przeprowadzono w sezonie wegetacyjnym 2016–2019 w agrocenozach dolin rzecznych: Liwca, Tyśmienicy i Wilgi. W badanych dolinach rzecznych zarejestrowano łączne 143 gatunki roślin o właściwościach zielarskich, z których pozyskiwane może być ziele, kwiaty, liście, korzenie i nasiona. Najbardziej zasobne w gatunki zielarskie były agrocenozy wykształcające się w dolinie Wilgi, odnotowano w nich 121 gatunków, najuboższe w dolinie Liwca (108 gatunków). W poszczególnych dolinach rzecznych wśród ziół dominowały gatunki rodzime, a ich udział najliczniejszy był w bezpośrednim sąsiedztwie rzeki i innych zbiorowisk tam występujących, wraz z oddalaniem się od tych siedlisk, ich udział w zbiorowiskach nieznacznie malał. Zinwentaryzowane gatunki ziół występujące w agrocenozach badanych dolin rzecznych były zróżnicowane pod względem części użytkowych. Najbardziej liczną grupę stanowiły gatunki, z których do celów farmaceutycznych pozyskiwane może być ziele. Znaczny udział we florze badanych zbiorowisk miały gatunki, z których mogą być pozyskiwane korzenie/kłącza. Najwięcej takich gatunków stwierdzono w bezpośrednim sąsiedztwie z korytem rzeki. Nieco mniejsze grupy stanowiły gatunki, z których częściami użytkowymi roślin mogą być korzenie/kłącza i ziele, kwiaty czy tylko liście. Analiza podobieństwa siedlisk pod względem występowania roślin zielarskich wykazała istotną różnicę dotyczącą gatunków, z których można pozyskiwać kwiaty, liście, ziele i nasiona, korzenie i nasiona oraz liście i kwiaty.
Using Homogenized Models to Explore the Effect of Fracture Densities on Weathering
Authors: Lebedeva Marina I. , Brantley Susan L. 
Published: February 2023

Despite its importance, only a few researchers have incorporated the effects of fracturing into models of reactive transport for rock weathering. Here we explore 2D simulations that describe weathering under conditions of diffusive and advective transport within heterogeneous media consisting of rocky blocks and fractures. In our simulations, the Darcy velocities vary in space and time and depend on weathering processes within the rock matrix. We explore simulations with saturated and unsaturated flow for weathering bedrock that consists of blocks separated by inert or weathered material. The simulations show that a simplified homogenized model can approximate exact solutions for some of the simulated columns and hills and can allow exploration of coupling between flow and reaction in fractured rock. These hillslope simulations document that, even in the presence of 2D water flow, i) an increase in fracture density results in faster weathering advance rates; and ii) the water table locates deeper for a rock system that is weathered and fractured rather than weathered and unfractured. Some of these patterns have also been observed for natural systems. But these simulations also highlight how simplified models that do not use appropriate averaging of heterogeneities can be inaccurate in predicting weathering rate for natural systems. For example, if water flows both vertically and laterally through the vadose zone of a hill, then a prediction of the depth of regolith that is based on modeling strictly unidirectional downward infiltration will be unrealistically large. Likewise, if the fracture density observed near the land surface is used in a model to predict depth of weathering for a system where the fracture density decreases downward, the model will overestimate regolith depth. Learning how to develop accurately homogenized models could thus enable better conceptual models and predictions of weathering advance in natural systems.
Elements of Artificial Intelligence in Integrated Information Systems
Authors: Keresztesi Albert Attila , Reş Moreno-Doru 
Published: February 2023

AbstractThe importance of the chosen theme is given by the lack of implementation of these technologies on the Romanian market, respectively to companies in the SME category, because this niche at the moment is one in full development and expansion. In the first part, entitled ‘Artificial intelligence – definitions, classifications’, the theoretical aspects of artificial intelligence systems in general, the direction of development in general, are presented, the types and categories of artificial intelligence and not least the facilities and effects of the use of artificial intelligence in general and in the fields of medicine, energy, production, education, finance and the transport industry respectively. In the second part entitled “Current trends in the development of integrated ERP systems” it analyzes the procedures for the integration of artificial intelligence elements as well as market analysis through the analysis of ERP solutions equipped with existing AI, the modules of the IT solutions that have been improved with artificial intelligence and other key elements with an impact on the implementations.
Pineapple waste in animal feed: A review of nutritional potential, impact and prospects
Authors: Sukri Suniza Anis Mohamad , Andu Yusrina , Sarijan Shazani , Khalid Hazreen-Nita Mohd , Kari Zulhisyam Abdul , Harun Hasnita Che , Rusli Nor Dini , Mat Khairiyah , Khalif Raja Ili Airina Raja , Wei Lee Seong , Rahman Mohammad Mijanur , Hakim Ali Hanafiah , Norazmi Lokman N.H. , Hamid Noor Khalidah Abdul , Khoo Martina Irwan , Doan Hien Van 
Published: February 2023

Abstract
Pineapple is a commodity and economic fruit with a high market potential worldwide. Almost 60% of the fresh pineapple, such as peels, pulp, crowns and leaves, are agricultural waste. It is noteworthy that the waste has a high concentration of crude fibre, proteins, ascorbic acid, sugars and moisture content. The pineapple waste utilisation in animal feed has recently drawn the attention of many investigators to enhance growth performance and concomitantly reduce environmental pollution. Its inclusion in animal feed varies according to the livestock, such as feed block, pelleted or directly used as a roughage source for ruminants. The pineapple waste is also fermented to enrich the nutrient content of poultry feed. To date, the inclusion of pineapple waste in animal feed is optimistic not only for livestock but also for farmed fish. Indeed, it is an ideal strategy to improve the feed supply to the farm. This paper aims to overview the source, nutritional composition, and application of pineapple waste in animal feed. The recent findings on its effect on animal growth performance, nutrition and disease control are discussed comprehensively and summarised. The review also covers its benefits, potential impacts on sustainable farming and future perspectives.
The effects of a Bacillus licheniformis and phytase mixture added to broiler diets on growth performance, nutrient digestibility, and cecal microecosystem
Authors: Trela Jacek , Kierończyk Bartosz , Rawski Mateusz , Mazurkiewicz Jan , Józefiak Damian 
Published: February 2023

Abstract
This study aims to evaluate the effects of Bacillus licheniformis and 6-phytase added alone or in combination to broiler chicken diets on the growth performance, apparent ileal digestibility coefficient (AID) of nutrients, microbial activity, and cecal bacterial communities. In total, 400 one-day-old female Ross 308 chicks were randomly allocated to 4 dietary treatments (10 replicate pens, 10 birds each). The following groups were defined: NC (negative control), basal diet without any feed additive supplementation; NC+Pro, basal diet with addition of the B. licheniformis preparation (500 g/t of diet); NC+Phy, basal diet with addition of phytase (200 g/t of diet); and NC+Pro+Phy, basal diet combined with both studied additives. B. licheniformis positively affected (P<0.05) the feed intake (FI) and feed conversion ratio (FCR) in the first 10 d of bird rearing. Moreover, phytase supplementation elevated the FCR from 21 to 35 d. In the entire experiment, an interaction between phytase and probiotic was observed only in terms of decreasing the bird FI (P=0.005) without a negative effect on the FCR (P>0.05). Furthermore, the AID of ether extract was improved by phytase supplementation. In terms of the cecal microecology, both separately administered factors promoted Lactobacillaceae in the ceca. Interactions between probiotic preparation and phytase were noted that indicated a decreased Clostridiales population and favored Ruminococcaceae proliferation. It can be concluded that for the first time in the available literature, the favorable interactions between B. licheniformis and phytase resulted in improved performance and cecal microbiota changes in broilers.
Evaluation of proximate compositions and heavy metal concentrations of Amaranthus spinosus L. and Talinum fruticosum (L.) Juss. harvested on some poultry dumpsites in Badagry, Lagos State, Nigeria
Authors: Oluwole Surukite O. , Ogun Mautin L. , Oluwa Omoteso K. , Usamot Qudus , Zannu Christiana O. , Alonge Faith O. 
Published: February 2023

Abstract
Poultry waste as enhancement for crop development has become a norm for nutrients’ source but their pollution potentials is a source for concern. Thus, this study aimed at assessing proximate compositions and heavy metal accumulation in organs of Amaranthus spinosus and Talinum fruticosum handpicked from three poultry faecal sites in Badagry, Lagos State. Leaves and roots of A. spinosus and T. fruticosum as well as soil samples were collected from Yafin, Agric and Badagry dumpsites in Badagry Local Government and these were subjected to proximate and heavy metal analyses using standard analytical procedures. Data obtained were analyzed using mean-standard deviation. Proximate analyses of A. spinosus and T. fruticosum from three faecal sites contained appreciable Moisture, protein, carbohydrate, fiber, ash, and fat contents. Also, heavy metal analyses of the vegetables from the three faecal sites ranged as follows: Cd: 0.01-0.05mg/100g in leaves; 0.04-0.12mg/100g in roots, Co: 0.04-0.05 in leaves; 0.04-0.12mg/100g in roots, Cr: 0.58-0.84mg/100g in leaves; 0.91-1.01mg/100g in roots, Cu: 0.27-70.51mg/100g in leaves; 0.50-58.55mg/100g in roots for A. spinosus; Cd: 0.04-0.07mg/100g in leaves; 0.06-0.12mg/100g in roots, Co: 0.02-0.06mg/100g in leaves; 0.08-0.34mg/100g in roots, Cr: 0.05-0.12mg/100g in leaves; 0.04-0.23mg/100g in roots, Cu: 61.55-121.81mg/100g in leaves; 48.45-147.45mg/100g in roots for T. fruticosum and Cd: 3.53-9.05mg/100g, Co: 0.14-0.69mg/100g, Cr:0.14-4.22mg/100g: and Cu: 2.59-8.11mg/100g in soils for all three dumpsites sampled. However, all metals analysed were below WHO limits for vegetable and soils except cobalt, copper and chromium. Thus, locals should be advised against consumption of vegetables from dumpsites since toxic substances often accumulates in the environment and maybe hazardous to man’s health.
Forecasting Prices of Shares Listed on the Warsaw Stock Exchange Using Machine Learning
Authors: Jóźwicki Rafał 
Published: February 2023

Abstract

Objective: The technology developing before our eyes is entering many areas of life and has an increasing influence on shaping human behavior. Undoubtedly, it can be stated that one such area is trading on stock exchanges and other markets that offer investors the opportunity to allocate their capital. Thanks to widespread access to the Internet and the computing capabilities of computers used in the daily activities of investors, the nature of their working has changed significantly, compared to what we observed even 10–15 years ago. At present, stock exchange orders may be placed in person using various types of brokerage investment accounts, which allow the investor to view real-time quotations which opens up a whole new range of opportunities for investorsIts skillful application during the stock market game can positively influence a player’s investment performance.Machine learning is a branch of artificial intelligence and computer science that focuses on using data and algorithms to solve decision-making problems based on large amounts of information. In machine learning, algorithms find patterns and relationships in large data sets and make the best decisions and predictions based on this analysis.

Methodology: The main objective of this paper is to investigate and evaluate the applicability of machine learning for investment decisions in equity markets. The analysis undertaken focuses on so-called day-trading, i.e. investing for very short periods of time, often involving only a single trading session. The hypothesis adopted is that the use of machine learning can contribute to a positive return for a stock market player making short-term investments.

Findings: This paper uses the Azure Microsoft Machine Learning Studio tool to enable machine learning-based calculations. It is a widely available cloud computing platform that provides an investor interested in creating a model and testing it. The calculations were made according to two schemes. The first involves teaching the model by taking 50% of the companies randomly selected from all companies, while the second involves teaching the model by taking 80% of the companies randomly selected from all companies.

Value Added: The results from the study indicate that investors can use machine learning to earn returns that are attractive to them. Depending on the teaching model (50% or 80% companies), daily returns can range from 1.07% to even 4.23%.

Recommendations: The results obtained offer investors the prospect of using the method presented in the article in their capital management strategies, which of course requires them to adapt the techniques used so far to the specifics of machine learning. However, it is necessary to note that the presented method requires that each time the data on which the forecast was made be updated..Further research is needed to determine the impact of the number of companies on the effectiveness of the learning process.
Otitis Externa in Dogs: Distribution and Antimicrobial Susceptibility Patterns of Staphylococcus Spp. Isolates
Authors: Hassan Mohammad , Kekeç Ayse Ilgin , Halaç Barış , Kahraman Beren Başaran 
Published: February 2023

Abstract
The study aimed to investigate the Staphylococcus species from dogs with chronic otitis externa in Istanbul and to determine their antibiotic susceptibility patterns. Ear swab samples were collected from 100 dogs suspected of otitis externa admitted at the clinics of Istanbul University - Cerrahpaşa, Faculty of Veterinary Medicine. The dogs were of different age, gender, and breed. The bacterial isolation was performed by conventional methods. BD Phoenix Automated Microbiology System was used to confirm bacterial identification by conventional methods and to test antimicrobial susceptibility. Staphylococcus spp. were isolated from 36% of the samples collected from the dogs. S. pseudintermedius, S. aureus, S. epidermidis, S. hyicus and S. chromogenes were identified in 41.6%, 22.2%, 11.1%, 5.5%, and 5.5%. In Staphylococcus spp. isolates, enrofloxacin, penicillin, and ampicillin-sulbactam resistance was 8.3%, marbofloxacin resistance was 11.1%, doxycycline resistance was 16.6%, amoxicillin-clavulanic acid, erythromycin, and gentamicin resistance was 19.4%, tetracycline, clindamycin, and sulphonamide resistance was 25%. Methicillin resistance was not observed in any of the isolates. However, multiple drug resistance (MDR) was detected in 11 (30.5%) of 36 isolates. In conclusion, the early detection and antimicrobial sensitivity testing of Staphylococcus spp in dog otitis externa cases that do not respond to empiric therapy could be beneficial for appropriate antibiotic selection and treatment thus preventing MDR.
Pengaruh Faktor Keluarga, Ciri Kepribadian, dan Efikasi Diri terhadap Intensi Berwirausaha Mahasiswa/i Perguruan Tinggi Swasta DKI Jakarta
Authors: Jervis Hans , Selamat Frangky 
Published: February 2023

Tujuan dari penelitian ini adalah untuk menguji apakah terdapat pengaruh dari Faktor Keluarga, Ciri Kepribadian, dan Efikasi Diri terhadap intensi berwirausaha mahasiswa/i perguruan tinggi swasta Di DKI Jakarta. Teknik pengambilan sampel yang digunakan dalam penelitian ini adalah non-probability sampling dengan teknik purposive sampling karena dalam pengambilan sampel ini terbatas pada jenis orang tertentu yang dapat memberikan informasi yang diinginkan. Data pada penelitian ini diperoleh dari penyebaran kuesioner dalam bentuk Google form yang disebarkan pada mahasiswa/i perguruan tinggi swasta di DKI Jakarta. Alat analisis data yang digunakan adalah Smart-PLS. Hasil dari penelitian ini adalah 1) Faktor keluarga tidak memiliki pengaruh terhadap intensi berwirausaha, 2) Ciri kepribadian ekstroversi memiliki pengaruh terhadap intensi berwirausaha, 3) Ciri kepribadian ramah tidak memiliki pengaruh terhadap intensi berwirausaha, 4) Ciri kepribadian ketelitian memiliki pengaruh terhadap intensi berwirausaha, 5) Ciri kepribadian terbuka pada pengalaman memiliki pengaruh terhadap intensi berwirausaha, 6) Ciri kepribadian neurotisisme tidak memiliki pengaruh terhadap intensi berwirausaha 7) Efikasi diri tidak memiliki pengaruh terhadap intensi berwirausaha. Hasil penelitian ini bertujuan untuk mengetahui pengaruh faktor keluarga, ciri kepribadian dan efikasi diri terhadap intensi berwirausaha seseorang.

The purpose of this study was to examine whether there is an influence of family factors, personality traits, and self-efficacy on entrepreneurial intentions of private university students in DKI Jakarta. The sampling technique used in this research is non-probability sampling with purposive sampling technique because this sampling is limited to certain types of people who can provide the desired information. The data in this study were obtained from distributing questionnaires in the form of Google Forms which were distributed to students of private universities in DKI Jakarta. The data analysis tool used is Smart-PLS. The results of this study are 1) Family factors have no influence on entrepreneurial intentions, 2) Extroversion personality traits have an influence on entrepreneurial intentions, 3) Agreeableness personality traits have no influence on entrepreneurial intentions, 4) Conscientiousness personality traits have an influence on entrepreneurial intentions, 5) Open to experience personality traits have an influence on entrepreneurial intentions, 6) Neuroticism personality traits have no influence on entrepreneurial intentions 7) Self-efficacy has no influence on entrepreneurial intentions. The results of this study aim to determine the effect of family factors, personality traits and self-efficacy on one's entrepreneurial intentions.
Pengaruh Struktur Modal, GCG, dan Ukuran Perusahaan terhadap Kinerja Keuangan Perusahaan Farmasi
Authors: Ngantung Valerie Abigael , Handoyo Sarwo Edy 
Published: February 2023

Tujuan dari penelitian ini adalah untuk menganalisis pengaruh struktur modal, good corporate governance dan ukuran perusahaan terhadap kinerja keuangan perusahaan yang terdaftar di Bursa Efek Indonesia (BEI). Penelitian ini dianalisis menggunakan regresi random effect dengan perusahaan farmasi dengan periode 2017-2020, menghasilkan 36 data observasi. Penelitian ini menggunakan metode purposive sampling untuk mendapatkan sampel. Data yang digunakan adalah data sekunder berupa data laporan keuangan perusahaan yang diperoleh dari Bursa Efek Indonesia (BEI), kemudian ditabulasikan menggunakan Microsoft Excel 2019 dan dianalisis menggunakan Eviews 10. Hasil penelitian ini menunjukkan bahwa pengaruh struktur modal terhadap kinerja keuangan adalah negatif dan signifikan, sedangkan komisaris independen dan ukuran perusahaan berpengaruh positif dan tidak signifikan terhadap kinerja keuangan juga komite audit memiliki pengaruh negatif dan tidak signifikan terhadap kinerja keuangan.

The purpose of this research is to analyze the effect of capital structure, good corporate governance and firm size on the firm’s financial performance listed on the Indonesia Stock Exchange (IDX). This research was analyzed using the random effect regression with nine pharmaceutical companies in the 2017-2020 periode, generate thirty-six data observations. The research used purposive sampling to get the sample. The data used is secondary data from company financial statement data that obtained from Indonesia Stock Exchange (IDX), then its tabulated using Microsoft Excel 2019 and analyzed using Eviews-10. The result of this research shows that the effect of capital structure on the financial performance is negative and significant, while independent commissioner, audit committee and firm size have positive and not significant effect on financial performance, and also audit committee has negative and no significant effect on financial performance.