bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biopsychosocial Analysis of Imagery in Elite Athletes
Authors: EMİRZEOĞLU Murat , ERDEN Arzu , KORKMAZ Nurhayat , YILDIRIM DÜNDAR Şaziye 
Published: January 2024

Purpose: The aim of this study was to examine the relationships between elite athletes' imagery abilities and their body awareness, plank stance duration, psychological and social skills.
Material and Methods: The study included 53 healthy elite athletes (female:32, male:21). The imagery abilities of the athletes were evaluated using the Movement Imagery Questionnaire-3. A Body Awareness Questionnaire was used for body awareness assessment. Plank stance duration, psychological and social skill levels were evaluated using Sport Specific Core Muscle Strength and Stability Plank Test, Athletic Psychological Skills Inventory and Social Skills Inventory, respectively.
Results: External and kinesthetic imagery was found to correlate with body awareness (r=0.33, p=0.02; r=0.39, p
The Autoregresiive Integrated Moving Average and Fuzzy Time Series Cheng Hybrid for Predicting Stock Price
Authors: Neyun Ignasia N.G. , Sulandari Winita , Slamet Isnandar 
Published: January 2024

Background: PT Telkom Indonesia Tbk is the largest company in the telecommunications sector in Indonesia. PT Telkom's share price always rises every year, attracting investors to invest. In investing, it is very important to analyze shares in order to know the situation and condition of the shares.
Objective: This research aims to predict the share price of PT Telkom Indonesia Tbk.
Methods: The method used is the Autoregressive Integrated Moving Average (ARIMA)-Fuzzy Time Series Cheng hybrid method. Cheng's FTS model is able to overcome nonlinearity problems in ARIMA model residuals. In this research, the first modeling uses the ARIMA model, where the data is divided into two, namely January to November 2019 data used as training data, and December 2019 data used as testing data. Next, residual modeling was carried out with FTS Cheng. Hybrid forecasting is obtained by adding up the results of ARIMA and FTS Cheng forecasts.
Result: Model evaluation is based on MAPE values and in this study the MAPE value of the ARIMA-FTS Cheng hybrid model was obtained at 1.03\% for training data and 1.09\% for testing data.
Conclusion: The hybrid model has a MAPE value of less than 10\%, so it can be concluded that the ARIMA-FTS Cheng hybrid model can predict PT Telkom Indonesia Tbk stock closing price data accurately.
Konstantin Gedroiz (1872–1932)—the Initial Studies of Soil Colloid Chemistry and Soil Salinity
Authors: Rusakova E. A. , Sukhacheva E. Y. , Ivanov A. L. , Hartemink A. E. 
Published: January 2024

Abstract
We present a review of the life and scientific legacy of the founder of soil colloid chemistry Konstantin Gedroiz. The phenomenon of absorption was first studied in the mid-1800s, and Gedroiz started working on base exchange and absorption in soils in 1906. Based on the general pattern of cation exchange reactions, he proposed the concept of “absorption capacity” and “soil absorption complex”, developed ideas about exchange acidity and the rate of exchange reactions, revealed the unique role of absorbed sodium and potassium in soil processes, and proposed the theory of the accumulation of sodium due to exchange reactions. He was one of the first to classify soil on the basis of the absorbing complexes and cations, which was a new approach in pedology. He used the climate classification of soils, and described Podzols, Laterites, and Chernozems in terms of their absorbing complexes and cations. The system of classification worked for mature soils in which pedogenic processes had proceeded to such an extent that the profile characteristics reflected a climatic region, but was less effective in alluvial soils and eroded soils. His studies established the connections between chemical and physical processes and the morphology of soils. He studied the evolution of saline soils from a chemical point of view, which led to the practical recommendations for chemical reclamation of Solonetz and liming of acidic soils. Gedroiz’s work was groundbreaking but insufficiently known outside Russia until his books have been translated into English and German in the late 1920s. The soil microbiologist Selman Waksman in the 1925 translated 11 of his papers into English, and the United State Department of Agriculture distributed copies of these translations. In 1927 a textbook on chemical analysis, “Die chemische Bodenanalyse”, was published; in 1930 the books “Der adsorbierende Bodenkomplex und die adsorbierten Bodenkationen als Grundlage der genetischen Bodenklassification” and “On the Problem of exchangeable Hydrogen and exchangeable Aluminium in acid soils”, a 1931 – “Die Lehre vom Adsorptionsvermögen der Böden”.
Journal on Artificial intelligence .pdf
Authors: Asemota Kingsley , Ifekanandu Chukwudi 
Published: January 2024

<p> This study examined artificial intelligence adoption and marketing performance of quoted manufacturing firms in Nigeria. The study adopted the positivism research philosophy and correlational research design. The population of the study consisted of 426 managers drawn from the 71 quoted manufacturing firms in Nigeria. The managers include branch managers, operational managers, production managers, marketing managers and sales managers of the firms. A sample size of 206 managers was used for the study. The sample size was determined mathematically using the Taro Yamene’s formula. A structured questionnaire was used to obtain data from the respondents. The data collected were analyzed statistically while the hypotheses were tested using Spearman Rank Order Correlation Coefficient (rho). The SPSS version 23.0 was used to perform the bivariate analysis. The findings revealed that the application of artificial intelligence technologies in marketing operations has a significant relationship with sales growth of quoted manufacturing firms in Nigeria. The study also revealed that the application of artificial intelligence technologies in marketing operations has a strong and significant relationship with market share growth of quoted manufacturing firms in Nigeria. The study equally confirmed that artificial intelligence capabilities have a strong and significant relationship with sales growth of quoted manufacturing firms in Nigeria. The study also reported that artificial intelligence capabilities has a strong and significant relationship with market share growth of quoted manufacturing firms in Nigeria. Based on these findings, it was concluded that artificial intelligence adoption significantly relate to marketing performance of quoted manufacturing firms in Nigeria. Based on these findings and conclusion, it was recommended that quoted manufacturing firms in Nigeria especially those that are experiencing poor marketing performance should adopt artificial intelligence technologies in their marketing operations as it would improve their marketing performance. </p>
Research Paper-Eldho Babu Maria Joseph Viviliaa Francis (1).docx
Authors: Babu Eldho , Joseph N Maria , F Viviliaa 
Published: January 2024

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<p>The exponential progression of guerrilla marketing from its stature as a mere low-cost method used by small and unestablished enterprises to acceptance by major and established players, as well as the blending of street-based approaches and digital technologies, make the concept arduous to delineate (Dahlén et al., 2009). The idea of guerrilla marketing is incredibly pertinent in a world where advertisers compete for customers’ attention by being more strategic and ingenious with their marketing operations (Koeck & Warnaby, 2014). It is a novel, unconventional, and captivating method of marketing intended to pique interest and spread word of mouth (Dinh & Mai, 2015). The core of guerrilla marketing, in contrast to normal marketing efforts, is more about communicating a distinctive image or identity concerning a firm than it is about outlining the characteristics and benefits of the product (Lee et al., 2018). Therefore, the purpose of this paper is to explore how guerrilla marketing influences customer preferences. This article seeks to evaluate the efficacy of guerrilla marketing strategies in raising brand recognition, boosting brand loyalty, and eventually influencing customer purchasing behaviour. The outcomes of the study will offer focused insights to marketers and companies seeking to leverage guerrilla marketing effectively in their advertising endeavours.</p>
Zamek a miasto. Analiza semantyczna terminu castrum w polskiej łacinie średniowiecznej
Authors: Rzepiela Michał 
Published: January 2024

W artykule omówiono dystrybucję semantyczną rzeczownika castrum jako najpopularniejszego terminu używanego w polskiej łacinie średniowiecznej na oznaczenie zamków i zespołów zamkowo-miejskich. Jako podstawa materiałowa dla zaprezentowanych badań posłużyły dwa korpusy polskiej łaciny średniowiecznej, korpus języka ogólnego eFontes oraz korpus dzieł Jana Długosza, opracowane w Pracowni Łaciny Średniowiecznej Instytutu Języka Polskiego PAN. W pierwszej części artykułu, po uwagach wstępnych poświęconych specyfice korpusów języków dawnych, zostają przytoczone dane porównawcze dotyczące frekwencji w źródłach rzeczownika castrum i pozostałych rzeczowników – terminów kastelologicznych, jak również podniesiona zostaje kwestia precyzji semantycznej terminologii kastelologicznej. W dalszej części artykułu omówiono relacje zachodzące między zamkiem a miastem, gdy funkcjonują one w ramach jednego kompleksu architektonicznego. Dla badania tych relacji szczególnie istotne znaczenie ma obserwacja kolokacji współtworzonych przez rzeczownik castrum. Na podstawie listy dziesięciu najpopularniejszych wyrazów – „partnerów” kolokacyjnych castrum, wyodrębnionych z korpusów, podejmuje się próbę opisania najważniejszych funkcji zamku w przestrzeni miejskiej. Wskazuje się tutaj kolejno na: funkcję sądowniczą zamku, jego funkcję przy określaniu obiektów w topografii miejskiej, jego rolę jako pracodawcy dla mieszkańców miasta.
Pemodelan Prediksi Penerima Beasiswa Kip-Kuliah Menggunakan Metode Weight Product
Authors: Indriyani Novita , Fauzi Ahmad , Yanto Andika Bayu Hasta Yanto 
Published: January 2024

Penelitian ini bertujuan untuk mengembangkan model prediksi penerima beasiswa KIP-Kuliah menggunakan metode Weight Product. Beasiswa KIP-Kuliah adalah bantuan keuangan yang diberikan kepada mahasiswa berprestasi dengan latar belakang ekonomi rendah. Metode Weight Product digunakan untuk mengintegrasikan dan menimbang faktor-faktor kriteria yang mempengaruhi keputusan penerimaan beasiswa.

Studi ini melibatkan metode pengumpulan data dari penerima beasiswa KIP-Kuliah sebelumnya, yaitu beasiswa, sistem pendukung keputusan dan dengan metode weight product tentunya, dengan variabel-variabel seperti pekerjaan dan penghasilan orang tua, kartu yang dimiliki, status kendaraan dan kepemilikan rumah, luas bangunan hingga sarana MCK. Data kemudian diolah menggunakan analisis statistik dan teknik pembobotan untuk menghasilkan model prediksi. Pembobotan dilakukan dengan memberikan bobot relatif pada setiap kriteria berdasarkan kontribusinya terhadap keputusan penerimaan beasiswa.

Hasil dari penelitian ini terdapat 74 calon penerima beasiswa yang direkomendasikan untuk mendapatkan beasiswa KIP dan 12 tidak direkomendasikan dikarenakan kurang sesuai dengan kriteria untuk calon penerima beasiswa KIP. Diharapkan hasil dari penelitian ini dapat memberikan kontribusi dalam meningkatkan keakuratan prediksi penerima beasiswa KIP-Kuliah, membantu penyelenggara beasiswa dalam pengambilan keputusan yang lebih objektif dan efisien. Metode Weight Product yang diusulkan memiliki potensi untuk meningkatkan validitas dan reliabilitas prediksi, sehingga dapat menjadi dasar bagi pengembangan sistem pendukung keputusan dalam proses seleksi penerima beasiswa. Penelitian ini dapat menjadi landasan bagi penelitian lebih lanjut dalam bidang pemodelan prediksi penerimaan beasiswa dengan pendekatan berbasis bobot.
A randomized controlled trial investigating the impact of a single flash cupping session on patients with chronic lower back pain using multichannel surface electromyographic assessment
Authors: Wang Li , Huang Bing-Yao , Xie Xiao-Min , Sang Di , Tan Tian-Hui , Li Guang-Lin , Cao Xue-Mei , Jiang Nai-Fu 
Published: January 2024

BACKGROUND: Chronic lower back pain (CLBP) is one of the most common disorders worldwide. Flash cupping has the ability to relieve CLBP; nevertheless, its impact on CLBP and the likely mechanism of action have not been studied. OBJECTIVE: The goal of this study was to assess the impact of a single, brief cupping session on CLBP and low back muscle activity using multichannel surface electromyography (sEMG). METHODS: In this randomized controlled trial, 24 patients with CLBP were enrolled and randomly assigned to the control group (treated by acupuncture) and cupping group (treated by acupuncture and flash cupping). Acupuncture was applied on the shen shu (BL23), dachang shu (BL25), and wei zhong (BL40) acupoints in both the groups. A brief cupping treatment was applied to the shen shu (BL23), qihai shu (BL24), dachang shu (BL25), guanyuan shu (BL26), and xiaochang shu (BL27) acupoints on both sides of the lower back in the cupping group. The numeric rating scale (NRS) was used to assess therapy efficacy for lower back pain (LBP) before and after treatment. Surface EMG data collected during symmetrical trunk flexion-extension movements were utilized to measure lower back muscle activity and the effectiveness of LBP therapy. RESULTS: There was no statistically significant difference (P= 0.63) in pain intensity between the two groups before and after treatment. There was a statistically significant difference (P= 0.04) between the control group and the cupping group in the sEMG topographic map parameter CoGx-To-Midline. CONCLUSION: This study established a connection between the action mechanism of flash cupping and enhanced horizontal synchronization of lower back muscular activity.
Dementia in the Ancient Greco-Roman World Was Minimally Mentioned
Authors: Finch Caleb E. , Burstein Stanley M. 
Published: January 2024

Background: The possibility that Alzheimer’s disease and related dementias (ADRD) is a modern disease arises from the minimal mention of advanced cognitive decline by ancient Greeks and Romans, who were mainly concerned with the physical frailties of older ages. Objective: Because standard medical histories of elderly health lacked mention of cognitive decline, we examined texts by Greek and Roman authors that mentioned memory loss and dementia. Methods: Primary texts of Greco-Roman authors, 8th century BCE into the 3rd century CE, that mentioned cognitive decline were identified and critically evaluated. Secondary sources were excluded. Results: No ancient account of cognitive loss is equivalent to modern clinical data. The term dementia was occasionally used in antiquity, but not invariably linked to old age. Ancient Greeks and Romans expected intellectual competence beyond age 60. While some memory loss was acknowledged, we found only four accounts of severe cognitive loss that might represent ADRD. The possibility of modest ADRD prevalence in ancient Greece and Rome is consistent with its low prevalence in the Tsimane of Bolivia. These contemporary Amerindians live under conditions of high mortality from frequent infections and minimal cardiovascular disease with physically demanding lives. Tsimane after age 60 had increased mild cognitive impairment; the few cases of dementia were not clinically consistent with AD. Conclusions: The modern ‘epidemic level’ of advanced dementias was not described among ancient Greco-Roman elderly. The possible emergence of advanced ADRD in the Roman era may be associated with environmental factors of air pollution and increased exposure to lead. Further historical analysis may formulate critical hypotheses about the modernity of high ADRD prevalence.
A probability-exponential method of converting Z-numbers and its systematic applications in multi-attribute decision making
Authors: Sun Hong , Zhang Xianyong 
Published: January 2024

Z-numbers contain fuzzy restrictions, credibility measures, and probability distributions to effectively represent uncertain information. Converting Z-numbers to fuzzy numbers facilitates extensive applications (such as multi-attribute decision-making (MADM)), thus becoming valuable for research purposes. Regarding Z-number conversions, the original method never considers the association probability, while probabilistic strategies offer better informatization. Recently, a probability-driven conversion starts with a linear transformation of the centroid difference between the fuzzy restriction and probabilistic distribution. However, it has the invalidation weakness of edge information due to underlying non-normalization. To improve this probability-linear conversion, a Z-number conversion is proposed by using underlying probability-exponential descriptions, and this new method is further applied to MADM. At first, the current probability-linear conversion is analyzed based on the initial non-probabilistic conversion, and its intrinsic weakness and correctional improvement are revealed. Then, the novel probability-exponential conversion resorts to an exponential characterization of centroid difference between the restriction and distribution, and it gains information enrichment due to underlying normalization. The refined method preserves the inherent characteristics of Z-numbers more effectively, facilitating their application in subsequent engineering practices. This is especially pertinent in decision-making systems based on expert input and initial value problems. The proposed method for converting Z-numbers aims to minimize information loss in transitions between Z-numbers and classical fuzzy numbers. This approach will be further explored in future research. Furthermore, the probability-exponential conversion induces an ExpTODIM algorithm for MADM, called PE-ExpTODIM. Three Z-number conversions (i.e., the non-probabilistic, probability-linear, and probability-exponential types) and three decision algorithms (i.e., ExpTODIM, EDAS, MOORA) are combined to establish a 3 × 3 framework of Z-number-driven MADM. Finally, the systematical 9 algorithms are applied to the problem of site selection of carbon storage. They are validated by criss-cross contrast analyses and statistical significance tests. Thus, PE-ExpTODIM exhibits the desired optimization. The last technology of statistical testing is original, ingenious, and valuable for MADM.
Productive behavior of rabbits fed with Leucaena leucocephala (Lam.) de Wit, foliage in the fattening phase
Authors: Pérez-Bautista José. J. , Candelaria-Martínez Bernandino , Martínez-Martínez Ricardo , Vicente-Pérez Ricardo , Marcelo-Hernández Sixto , Herrera-Pérez Jeronimo , Grifaldo- Alcántara Pedro.F. , Gómez-Vázquez Armando 
Published: January 2024

Objective: To assess the productive behavior of rabbits fed with a diet that included 33% fresh Leucaena leucocephala foliage during the fattening phase.
Design/Methodology/Approach: Twenty 60-day-old New Zealand rabbits with an average live weight of 960 g were used. Using a completely randomized, 2×2 factorial design, five male and five female rabbits were distributed among the following treatments: ACCH treatment (300-g commercial feed for female rabbits), ACCM treatment (300-g commercial feed for male rabbits), ACFLCH treatment (200-g commercial feed with 100 g Leucaena foliage for female rabbits), and ACFLCM treatment (200-g commercial feed with 100 g Leucaena foliage for male rabbits). An analysis of variance and a Tukey's test were applied to determine the effect of the treatments on each of the variables analyzed.
Results: The rabbits that consumed the ACFLCM and ACFLCH diets with the addition of Leucaena gained more weight (P<0.05): 23.18±6.35 and 21.59±10.23 g/rabbit/day. Feed intake was higher (P<0.05) with a Leucaena foliage diet: 48.04.2±0.50 and 47.68±0.84 g/rabbit/day. A significant difference (P>0.05) in final weight was observed among treatments (ACCM, 1,971±256.6; ACFLCM, 2,211.8±197.7; ACCH, 2,012.4±275.6; and ACFLCH, 2,184.0±464.9).
Study Limitations/Implications: Proper and correct use of available forage must be made to guarantee that animals have access to food all year round.
Findings/Conclusions: The addition of Leucaena foliage in the diet did not generate a decrease in growth or feed intake.
Dry matter distribution of banderita grass [Bouteloua curtipendula (Michx.) Torr.] at different plant strata
Authors: Soto-Rojas Shaday A. , Álvarez-Vázquez Perpetuo , Mellado-Bosque Miguel A. , García-Martínez José E. , Encina-Domínguez Juan A. , Wilson-García Claudia Y. 
Published: January 2024

Objective: To evaluate the dry matter distribution of banderita grass [Bouteloua curtipendula (Michx.) Torr.] in different plant strata.
Design/Methodology/Approach: A randomized block experimental design with five repetitions was used for the experiment. Each repetition consisted of three plants which were evaluated at different days after sowing (DAS), in three different plant strata: basal stratum (BS), middle stratum (MS), and upper or apical stratum (AS). The following variables were evaluated: dry matter yield (DMY), morphological composition (MC), leaf area (LA), plant height (PH), leaf:stem ratio (L:SR), and aerial part:root ratio (Ap:rR). An analysis of variance was performed, using the PROC GLM procedure of the SAS software; in addition, a comparison of means was carried out using Tukey’s test (α<0.05).
Results: SB made a greater contribution to DMY at 50 DAS, with a 16 g DMY plant-1 average, followed by MS, with 9 g DM plant-1, and AS with 3 g plant-1. The MC (g) in the BS registered that the stem made a greater contribution than the rest of the components (average: 12.3 g plant-1), while leaves from the MS and AS made the greatest contribution (2.6 g plant-1) up to 64 DAS. However, they were surpassed by the stem in the MS and by the inflorescence in the AS. In addition, BS registered the highest LA (173.4 cm2). The largest PH was recorded at 120 DAS (96 cm). The highest L:SR ratio reached 1.10 at 50 DAS, while Ap:rR recorded 3.82 at 92 DAS.
Study Limitations/Implications: The experiment was carried out under greenhouse conditions. Therefore, any extrapolation or comparison with field conditions should be done with caution.
Findings/Conclusions: The basal and middle part of a banderita grass (Bouteloua curtipendula) plant contains the highest forage accumulation (mainly in the leaves and the stem), while the highest biomass content in the apical part is produced by the inflorescence.