bluuebunny/crossref_metadata_2025 huggingface dataset:
Gambaran Angka Kejadian Anemia Kehamilan Pada Kunjungan Pertama Berdasarkan Umur, Gravid, Paritas, Dan Riwayat Abortus Di Puskesmas Makale Pada Bulan Februari, Maret, Dan April Tahun 2017
Authors: Sampe Mariany
Published: July 2022

Dampak anemia dapat menyebabkan berkurangnya daya konsentrasi, kemampuan akademik menurun, mudah merasa letih, jantung berdetak lebih cepat, warna kulit menjadi pucat, latergi, ganguan pada janin yang di kandung, menghambat pertumbuhan fisik, dampak menimbulkan resiko bayi lahir dengan berat badan yang kurang. Faktor yang menyebabkan terjadinya anemia adalah faktor lingkungan, perilaku, genetik, dan pelayanan kesehatan sendiri Penelitian ini bertujuan untuk mengetahui Gambaran Angka Kejadian Anemia Kehamilan Pada Kunjungan Pertama Berdasarkan Umur, Gravid, Paritas, Dan Riwayat Abortus Di Puskesmas  Makale Pada Bulan Februari, Maret, Dan April Tahun 2017. Penelitian ini dilakukan di Puskesmas makale pada Tanggal 18 Januari  2018.  Metode dalam penelitian ini adalah pengambilan data sekunder dan analisis deskriptif dengan menggunakan metode porpusive sampling yaitu sampel yang diambil berdasarkan karakteristik sesuai dengan ketentuan variabel independen ibu hamil yang memeriksa kehamilan pada kunjungan pertama (K.1) di Puskesmas Makale  dengan jumlah 48 orang selama bulan Februari, Maret, dan April.  dan namanya tercatat dalam buku register ANC. Dari hasil penelitian didapatkan 48 sampel yang tercatat dan ibu hamil yang anemia ada 29 orang (60,42%) dan yang tidak anemia ada 19 orang (39,58%).  Dari kesimpulan diatas disarankan perlunya dukungan dari berbagai pihak yang terkait untuk mencari solusi dalam mencegah terjadinya anemia pada masa kehamilan
Analisis Implementasi Kebijakan Puskesmas Dalam Program Pos Pembinaan Terpadu Penyakit Tidak Menular
Authors: Evi Yanti Nurul , Lumongga Lubis Namora , Eulis Diana Vivi
Published: July 2022

Pembinaan Terpadu Penyakit Tidak Menular (Posbindu PTM) merupakan salah satu upaya kesehatan berbasis masyarakat yang bersifat promotif dan preventif dalam rangka deteksi dini dan pemantauan faktor risiko PTM. Jenis penelitian yang digunakan adalah penelitian kombinasi (mix method). Jumlah sampel dalam penelitian ini adalah sebanyak 37 responden. Informan dalam penelitian ini sebanyak 2 orang petugas kesehatan dan 2 orang kader posbindu PTM. Analisa data kuantitatif secara univariat dan bivariat, sedangkan kualitatif secara deskriptif melakukan keabsahan data dan penarikan kesimpulan. Hasil penelitian didapatkan tingkat keaktifan masyarakat menyatakan bahwa responden yang keaktifan masyarakat aktif lebih tinggi (67.64%), dibandingkan dengan yang tidak aktif (32.4%). Implementasi kebijakan bidang input, proses dan output pelaksanaan Posbindu PTM lebih banyak yang aktif, dibandingkan dengan implementasi kebijakan bidang input pada kategori kurang dimana lebih banyak tidak aktif. Berdasarkan hasil wawancara diketahui bahwa SOP mengenai Posbindu PTM sudah ada, dibidang sarana dan prasarana pelaksanaan Posbindu PTM ditentukan oleh Desa. Kinerja kader sudah bagus serta masyarakat nyaman selama proses pelaksanaan, cuma kinerja kader yang kurang baik disebabkan tidak ada pelatihan khusus untuk kader. Disarankan kepada Puskesmas Kota Juang Kabupaten Bireuen agar meningkatkan pelayanan posbindu PTM di Kecamatan Kota Juang Kabupaten Bireuen agar program posbindu dapat berjalan dengan optimal.
SIKLUS RUMAH TANGGA ISLAMI PERSPEKTIF SAKINAH, MAWADDAH, RAHMAH
Authors: Almakki H.M Arsyad
Published: July 2022

Pernikahan bukan cuma sebuah perjanjian antara dua orang (laki-laki dan perempuan), tetapi juga sebuah perjanjian yang mengandung komitmenilahiyah, yang al-Quran menyebutnya dengan Mitsaqan Ghalizan “perjanjian yang kokoh”. Mitsaqon gholiza juga dipakai sebagai istilah untuk perjanjian Bani Israil dengan Allah tentang larangan mencari ikan pada hari sabat, dan juga perjanjian antara Allah dengan Nabi Nuh, Ibrahim, Musa, Isa, dan Nabi Muhammad (Nabi Ulu Azmi). Kehidupan pernikahan merupakan pintu awal pasangan untuk beradaptasi dan saling memahami untuk menghadirkan sakinah mawaddah dan rahmah. Dalam melewati kehidupan berumah tangga ada tahapan yang umum terjadi, yaitu tahap bulan madu, tahap gejolak, tahap perundingan dan negosiasi, tahap penyesuaian, tahap peningkatan kualitas kasih sayang, dan tahap kemantapan. Dengan memahami siklus kehidupan berkeluarga diharapkan dapat saling memahami satu dengan yang lain sehingga memperoleh kebahagian yang di harapkan yaitu keluarga sakinah, mawaddah dan rahmah.
PELAKSANAAN PROGRAM TAKHASUS KITAB KUNING PONDOK PESANTREN MAMBA’UL KHAIRAT KETAPANG
Authors: Iwan Iwan
Published: July 2022

Penelitian ini bertujuan untuk mengetahui mekanisme penerimaan, materi, metode, waktu, evaluasi, dan kendala dalam pelaksanaan program takhasus kitab kuning Pondok Pesantren Mamba’ul Khairat Ketapang.Penelitian ini menggunakan pendekatan kualitatif.Metode pengumpulan data dalam penelitian ini adalah; pengamatan, wawancara serta dokumentasi. Analisis data dilakukan melalui tiga tahapan, reduksi data, penyajian data, dan  penarikan kesimpulan. Hasil penelitian menunjukkan bahwa pelaksanaan program takhasus kitab kuning di Pondok Pesantren Mamba’ul Khairat Ketapang adalah sebagai berikut 1) mekanisme penerimaan santri masuk takhasus adalah santri yang telah lancar dalam membaca Al-Qur’an, 2) materi yang disampaikan dalam pelaksanaan program takhasus meliputi materi nahwu, shorof, fiqih, tajwid, tafsir, tasawuf, hadits, tarikh, tauhid dan akhlak, 3)  metode yang digunakan pada pelaksanaan program takhasus adalah metode sorogan, mudzakarah, hafalan, Tanya jawab dan memberi hadiah bagi santri yang aktif atau berprestasi, 4). Program takhasus membaca kitab kuning dimulai dari jam 14.00-16.30 WIB, 5) evaluasi pelaksanaan program takhasus membaca kitab kuning meliputi hasil belajar santri, materi yang disampaikan, metode yang digunakan, kebersihan, kedisiplinan, dan 6) Kendalayang dihadapi yaitu  minimnya ruang kelas, media belajar dan alat peraga kemudian santri belajar tanpa kursi dan meja. Solusi yang akandilakukan: membangun ruang kelas yang memadai dan menyediakan kitab/buku penunjang, media belajar serta alat peraga.
DISABILITAS DAN TABOO DALAM LITERATUR PESANTREN KLASIK
Authors: Ashari M
Published: July 2022

Literatur pesantren klasik turut mengambil peran dalam mengkonstruksi kepercayaan orang tua dan masyarakat terhadap pragnancy of taboo anak penyandang disabilitas kongenital. Kitab Fathul Idzār merupakan kitab literatur pesantren klasik yang dalam sub pembahasan menjelaskan sejumlah sebab yang menjadikan pasangan suami istri melahirkan anak dengan penyandang disabilitas kongenital. Proses pengumpulan data dengan menalaah isi kitab Fathul Idzār berdasarkan pertanyaan penelitian. Berdasarkan penelahaan dan pengkajian dalam kitab tersebut dijelaskan sejumlah etika/adab dan pemilihan waktu dalam melakukan hubungan suami istri yang apabila dilanggar akan mengakibatkan anak terlahir dalam kondisi penyandang disabilitas kongenital.
PENGARUH PENDIDIKAN KELUARGA TERHADAP HASIL BELAJAR ILMU PENGETAHUAN ALAM DI SD PIMPINAN PARIT KABUPATEN SAMBAS
Authors: Topik Topik , Parni Parni
Published: July 2022

Tujuan dari penelitian ini adalah untuk mengetahui pendidikan keluarga di sekolah dasar negeri Pimpinan Parit Kabupaten Sambas, mengetahui hasil belajar ilmu pengetahuan alam di sekolah dasar negeri Pimpinan Parit Kabupaten Sambas dan Pengaruh antara pendidikan dalam keluarta terhadap Hasil Belajar ilmu pengetahuan alam di sekolah dasar negeri Pimpinan Parit Kabupaten Sambas. Penelitian ini dilakukan dengan pendekatan kuantitatif dengan metode deskriptif korelasional yaitu mencari pengaruh antara variabel independen Pendidikan Keluarga (X) dan variabel dependen Hasil Belajar ilmu pengetahuan alam(Y).
PENDIDIKAN ISLAM DI PAKISTAN : RELEVANSINYA DENGAN PENDIDIKAN ISLAM DI INDONESIA
Authors: Atta Nashruddin
Published: July 2022

Dalam lintasan sejarah peradaban Islam, peran pendidikan benar-benar bisa diaktualisasikan dan diaplikasikan, tepatnya pada zaman kejayaan Islam, yang mana itu semua adalah sebuah proses dari sekian lama kaum muslimin berkecimpung dalam naungan ilmu-ilmu ke-Islaman yang bersumber dari AlQur’an dan As-Sunnah.Hal ini dapat kita saksikan, dimana pendidikan benar-benar mampu membentuk peradaban, sehingga peradaban Islam menjadi peradaban terdepan sekaligus peradaban yang mewarnai Jazirah Arab, Afrika, Asia Barat, hingga Eropa Timur. Untuk itu, adanya sebuah paradigma pendidikan yang memberdayakan peserta didik merupakan sebuah keniscayaan.Pendidikan agama Islam di Pakistan terbagi 3 kategori, yakni: Quranic School, Mosque Primary School, dan Madrasah.Kebijakan pendidikan antara Pakistan dan Indonesia hampir sama, yakni menjadikan pendidikan wajib belajar bagi warga negaranya. Hanya saja Pakistan wajib belajarnya hingga SLTA, sementara di Indonesia hanya sampai tingkat SLTP.Keywords: Pendidikan Islam, Relevansi, Pendidikan Islam di Indonesia
LEARNING STYLES AND VARIETY OF MATERIALS IN ENGLISH TEACHING AND LEARNING
Authors: Fitriani Fitriani
Published: July 2022

Applying of Learning styles and variety of materials are the important factors in teaching and learning English. When the teacher wants to teach must be prepare some materials and apply technic to get the students’ gaining. With recognizing about learning styles and variety of materials are very useful for language teachers to prepare and implement the effective and positive influence in teaching and learning English. Understanding the students’ learning style is the best way and technic to maximalise potential of students in learning process. After knowing the students’ learning style, the teacher will consider the best method to apply in the classroom. All students have not same their own learning style for understanding material in teaching and learning English.  So the teacher can apply learning style the suitable condition their students and variant materials to get the students’ progress and avoid boring of class situation.
Rechtsökonomie und Bodenmarkt
Authors: Halm Philipp
Published: July 2022

Since 2009, the purchase and lease prices for agricultural land have developed dynamically, triggering a debate on the need for stronger land market regulation. Among other things, increasing ownership concentration processes and the growing influence of non-agricultural investors are cited as triggers for these developments.

This study is the first to address the issue from the perspective of legal economics. For this purpose, essential land price determinants are identified on the basis of current empirical data. Based on this, the known proposals for expanding the regulatory framework of land law are subjected to a critical review and own proposals are developed.
Taxonomic notes on the antlion tribe Myrmeleontini Latreille (Neuroptera, Myrmeleontidae, Myrmeleontinae) from Pakistan, with description of a new species
Authors: Hassan Muhammad Asghar , Zheng Yuchen , Liu Xingyue
Published: July 2022

A new species of the myrmeleontine antlion genus Baliga Navás, 1912 (Neuroptera: Myrmeleontidae), Baliga kashmirensis sp. nov., from Azad Kashmir and Khyber Pakhtunkhwa Province of Pakistan is described and illustrated, representing the first record of Baliga from Pakistan. Three species of Myrmeleon Linnaeus, 1767 are re-described: M. hyalinus hyalinus Olivier, 1811, M. tenuipennis Rambur, 1842, and M. trivialis Gerstaecker, 1885. Myrmeleon bimaculatus Yang, 1999 syn. nov. originally described from China is considered to be a junior synonym of Myrmeleon tenuipennis Rambur, 1842. In addition, an annotated catalogue of all species of Myrmeleon known from Pakistan along with their distribution map, taxonomical notes and updated identification key to known genera and species are provided.
Data Aggregation Model of Enterprise Financial Supervision Based On BP Neural Network
Authors: Li Ran
Published: July 2022

Aiming at the problems of high damping coefficient and long aggregation response time of traditional enterprise financial supervision data aggregation model, an enterprise financial supervision data aggregation model based on BP neural network is designed. In order to effectively gather enterprise financial supervision data, an enterprise model of financial supervision data is proposed based on concurrent workflow. Using the basic financial data, construct the tree workflow, use the financial data summary server tree, construct the multi-level data aggregation mechanism, compress the enterprise financial supervision data based on BP neural network, and realize the model through the tree workflow and multi-level data aggregation mechanism. The experimental results show that the aggregation damping coefficient and response time of the design model are significantly lower than those of the control group, which can solve the problems of high damping coefficient and long aggregation response time of the traditional enterprise financial supervision data aggregation model.
Analysis of consumers' purchase behavior preference in e-commerce platform based on lightgbm algorithm
Authors: Ran Ren , Ma Minhai
Published: July 2022

Aiming at the problem of large mean square error of regression coefficient in traditional e-commerce platform consumer purchase behavior preference analysis, this paper designs an e-commerce platform consumer purchase behavior preference analysis based on lightgbm algorithm. Firstly, the index system of consumer purchase behavior preference on e-commerce platform is constructed. Then, based on lightgbm algorithm, the classification variables of consumer purchase behavior preference data are trained. Then, the weight of consumer purchase behavior preference index is calculated. Finally, the analysis curve of consumer purchase behavior preference on e-commerce platform is fitted to realize preference analysis. The experimental results show that the mean square error of regression coefficient of the experimental group is significantly lower than that of the control group, which can solve the problem of large mean square error of regression coefficient of traditional preference analysis.
Heterogeneous data mining algorithm of Internet of things based on Spark of biotech and artificial intelligence architecture
Authors: Chen Bing  , Ting Zhang
Published: July 2022

Due to the limitation of memory, heterogeneous data mining algorithm of Internet of things takes too long to process large-scale data of biotech companies. This paper proposes a heterogeneous data mining algorithm for Internet of things based on Spark artificial intelligence architecture. The heterogeneous data is abstracted into the characteristic value of the unified dimension related to the target task, the attribute is established and the preprocessing result is output. A distributed parallel computing framework is established by using Spark artificial intelligence architecture, and the preprocessed data is distributed to different execution points. The data of each execution point is converted into bit matrix to calculate the attribute association degree, and the data is partitioned according to the association result. According to association rules of biotech companies, local and global frequent pattern trees are generated to complete heterogeneous data mining. The experimental results show that the execution time of the heterogeneous data mining algorithm designed in this paper is 1892s, which is 1147s, 1991s and 624s less than HUIM-ACO algorithm, FP-Growth algorithm and ENFP-Growth algorithm, respectively. The algorithm designed in this paper can effectively shorten data processing time and improve the execution efficiency.
Research on Agricultural Products E-Commerce Supply Chain Scheduling Based On Weight Template Matching
Authors: Ruifang Duan  , Wang Sujuan
Published: July 2022

The existing agricultural e-commerce supply chain scheduling methods have the problem of imperfect decision model, resulting in high supply chain cost. The agricultural e-commerce supply chain scheduling method based on weight template matching is designed. Obtain the operation process of agricultural products, plan the target distribution route, combined with the satisfaction principle, identify the integration constraints of e-commerce supply chain, formulate the sequence of events, construct the logistics service decision-making model by using FS algorithm, convert the optimization problem into a decision problem, and set the scheduling mode by matching the weight template. Example analysis results: the average supply chain cost of the agricultural e-commerce supply chain scheduling method in this paper and the other two agricultural e-commerce supply chain scheduling methods are 520671.4 yuan, 578494.6 yuan and 577983.2 yuan respectively, which proves that the agricultural e-commerce supply chain scheduling method integrating the weight matching template has better performance.
Research on the development of agricultural commercialization from the perspective of trade equality based on data mining algorithm
Authors: Hao Meiyan
Published: July 2022

There are difficult to quantify institutional factors in the development model of agricultural commercialization, which forms the measurement deviation of trade efficiency, resulting in large estimation relative error. To solve this problem, this paper studies the development of agricultural commercialization from the perspective of trade equality based on data mining algorithm. Preprocess agricultural multi-source heterogeneous data, remove abnormal data, establish agricultural commercialization database, input agricultural data into the database according to attributes and types, and realize the integration of multi-source data. Set the appropriate minimum support and confidence, mine the export volume of agricultural products from the perspective of high-level and low-level, and determine the structure of trade products. On the basis of using data mining algorithm to grasp the structure of agricultural products, an estimation model of agricultural commercialization development potential is established. The experimental results show that the average relative error of this method is 0.523, which is 0.453 and 0.324 lower than that based on BP neural network and RBF neural network. Therefore, the estimation results of this method are more accurate, can truly reflect the trade development capacity of agricultural products, and has a good application prospect.
Teledermatology: the new era of digitalization in dermatology care
Authors:   Semmelweis University, Faculty of Medicine Department of Dermatology Venereology and Dermatooncology, Jobbágy Antal , Meznerics Fanni Adél , Farkas Klára , Plázár Dóra , Bozsányi Szabolcs , Fésűs Luca , Róbert Lili , Schveibert Ágnes , Kuzmanovszki Daniella , Szoldán Péter , Lőrincz Kende , Kiss Norbert , Wikonkál Norbert , Sárdy Miklós , Bánvölgyi András
Published: July 2022

There is a growing scope of different telemedicine modalities in patient care, especially with the development of various communication and digital imaging devices. In dermatology, there has been an unprecedented increase in the number of healthcare facilities providing teledermatology consultations after the outbreak of the COVID-19 pandemic. Experiences have shown that the application of teledermatology systems can increase access to dermatology care for the population, reduce waiting time for cases requiring immediate face-to-face consultation and minimize costs for patients and, in the longer term, for healthcare systems as well.
The influence of molecular biology in the dermatopathology
Authors:   University of Szeged Albert Szent-Györgyi Medical Center Department of Dermatology and Allergology, Németh István Balázs , Szadai Letícia , Jánosi Ágnes , Újfaludi Zsuzsanna , Pankotai Tibor , Markó-Varga György , Kemény Lajos , Varga Erika
Published: July 2022

The recent advantages of the molecular biologic methods have a deep infuence on the routine dermatopathology, especially in case of melanoma. The molecular fingerprint of melanoma has resulted in the tissue validation of potential prognostic and predictive biomarkers. In addition to the DNA-, and RNA-based techniques, deep protein sequencing contributes to the OMIC strategy, affecting the dermatopathology labs. The paper summarizes the recent molecular biological aspects on diagnostic dermatopathology.
Free customs zone in the free port of Vladivostok: assessment of the effectiveness of legal regulation
Authors: Bereznikova Аnna
Published: July 2022

The object of the study is the application of the customs procedure of the free customs zone (hereinafter referred to as the FTZ) in the free port of Vladivostok (hereinafter referred to as the SPV). The subject of the study is the regulatory and legal regulation of the customs procedure of the STZ in the SPV. The purpose of the study is to identify the reasons affecting the low attractiveness of the application of the customs procedure of the STZ among the residents of the SPV, as well as to search for and disclose the shortcomings of the regulatory regulation of this customs procedure. In the course of the research, general methods of cognition (analysis and synthesis, comparison, analogy) and private scientific methods were used: comparative legal, historical legal, system-structural analysis of documents, statistical analysis. The topic under consideration is relevant in connection with the need to use effective tools for the development of the economy of the Far East, to which the Russian authorities have been paying close attention for the last decade. Also, the positive experience of Asian neighbors pushes for a detailed study of such a development tool as "free economic zones", customs and tax benefits provided in such territories. The novelty of the study consists in pointing out the problems of the application of the customs procedure of the STZ, identified during the practical application of this procedure in the SPV. According to the results of the study, it was found that the customs procedure of the STZ does not enjoy attractiveness among the residents of the SPV and does not produce the expected economic effect for a number of reasons that lie in the regulation and its application. The process of creating the SPV and the ongoing integration processes in the Eurasian space have left their mark on the content of Federal Law No. 212-FZ dated 13.07.2015 "On the Free Port of Vladivostok". The lack of systematization of the basic terms "free economic zone", "territory of a free economic zone", the introduction of unrealizable provisions in orders, the lack of timely work to eliminate identified contradictions and errors, the lack of a single well-thought-out strategy for the development of SPV leads to a decrease in interest in the application of the STZ procedure and may contribute to illegal activities.
Ndc1 drives nuclear pore complex assembly independent of membrane biogenesis to promote nuclear formation and growth
Authors: Mauro Michael Sean , Celma Gunta , Zimyanin Vitaly , Magaj Magdalena M , Gibson Kimberley H , Redemann Stefanie , Bahmanyar Shirin
Published: July 2022

The nuclear envelope (NE) assembles and grows from bilayer lipids produced at the endoplasmic reticulum (ER). How ER membrane incorporation coordinates with assembly of nuclear pore complexes (NPCs) to generate a functional NE is not well understood. Here, we use the stereotypical first division of the early C. elegans embryo to test the role of the membrane-associated nucleoporin Ndc1 in coupling NPC assembly to NE formation and growth. 3D-EM tomography of reforming and expanded NEs establishes that Ndc1 determines NPC density. Loss of ndc1 results in faster turnover of the outer scaffold nucleoporin Nup160 at the NE, providing an explanation for how Ndc1 controls NPC number. NE formation fails in the absence of both Ndc1 and the inner ring component Nup53, suggesting partially redundant roles in NPC assembly. Importantly, upregulation of membrane synthesis restored the slow rate of nuclear growth resulting from loss of ndc1 but not from loss of nup53. Thus, membrane biogenesis can be decoupled from Ndc1-mediated NPC assembly to promote nuclear growth. Together, our data suggest that Ndc1 functions in parallel with Nup53 and membrane biogenesis to control NPC density and nuclear size.
Design of an optimal combination therapy with broadly neutralizing antibodies to suppress HIV-1
Authors: LaMont Colin , Otwinowski Jakub , Vanshylla Kanika , Gruell Henning , Klein Florian , Nourmohammad Armita
Published: July 2022

Infusion of broadly neutralizing antibodies (bNAbs) has shown promise as an alternative to anti-retroviral therapy against HIV. A key challenge is to suppress viral escape, which is more effectively achieved with a combination of bNAbs. Here, we propose a computational approach to predict the efficacy of a bNAb therapy based on the population genetics of HIV escape, which we parametrize using high-throughput HIV sequence data from bNAb-naive patients. By quantifying the mutational target size and the fitness cost of HIV-1 escape from bNAbs, we predict the distribution of rebound times in three clinical trials. We show that a cocktail of three bNAbs is necessary to effectively suppress viral escape, and predict the optimal composition of such bNAb cocktail. Our results offer a rational therapy design for HIV, and show how genetic data can be used to predict treatment outcomes and design new approaches to pathogenic control.
Impact of energy limitations on function and resilience in long-wavelength Photosystem II
Authors: Viola Stefania , Roseby William , Santabarbara Stefano , Nürnberg Dennis , Assunção Ricardo , Dau Holger , Sellés Julien , Boussac Alain , Fantuzzi Andrea , Rutherford A William
Published: July 2022

Photosystem II (PSII) uses the energy from red light to split water and reduce quinone, an energy-demanding process based on chlorophyll a (Chl-a) photochemistry. Two types of cyanobacterial PSII can use chlorophyll d (Chl-d) and chlorophyll f (Chl-f) to perform the same reactions using lower energy, far-red light. PSII from Acaryochloris marina has Chl-d replacing all but one of its 35 Chl-a, while PSII from Chroococcidiopsis thermalis, a facultative far-red species, has just 4 Chl-f and 1 Chl-d and 30 Chl-a. From bioenergetic considerations, the far-red PSII were predicted to lose photochemical efficiency and/or resilience to photodamage. Here, we compare enzyme turnover efficiency, forward electron transfer, back-reactions and photodamage in Chl-f-PSII, Chl-d-PSII, and Chl-a-PSII. We show that: (i) all types of PSII have a comparable efficiency in enzyme turnover; (ii) the modified energy gaps on the acceptor side of Chl-d-PSII favour recombination via PD1+Phe- repopulation, leading to increased singlet oxygen production and greater sensitivity to high-light damage compared to Chl-a-PSII and Chl-f-PSII; (iii) the acceptor-side energy gaps in Chl-f-PSII are tuned to avoid harmful back reactions, favouring resilience to photodamage over efficiency of light usage. The results are explained by the differences in the redox tuning of the electron transfer cofactors Phe and QA and in the number and layout of the chlorophylls that share the excitation energy with the primary electron donor. PSII has adapted to lower energy in two distinct ways, each appropriate for its specific environment but with different functional penalties.
Improved genetic algorithm optimized LSTM model and its application in short-term traffic flow prediction
Authors: Zhang Junxi , Qu Shiru , Zhang Zhiteng , Cheng Shaokang
Published: July 2022

Considering that the road short-term traffic flow has strong time series correlation characteristics, a new long-term and short-term memory neural network (LSTM)-based prediction model optimized by the improved genetic algorithm (IGA) is proposed to improve the prediction accuracy of road traffic flow. Firstly, an improved genetic algorithm (IGA) is proposed by dynamically adjusting the mutation rate and crossover rate of standard GA. Secondly, the parameters of the LSTM, such as the number of hidden units, training times, gradient threshold and learning rate, are optimized by the IGA. Therefore, the optimal parameters are obtained. In the analysis stage, 5-min short-term traffic flow data are used to demonstrate the superiority of the proposed method over the existing neural network algorithms. Finally, the results show that the Root Mean Square Error achieved by the proposed algorithm is lower than that achieved by the other neural network methods in both the weekday and weekend data sets. This verifies that the algorithm can adapt well to different kinds of data and achieve higher prediction accuracy.
Improving word embeddings in Portuguese: increasing accuracy while reducing the size of the corpus
Authors: Pinto José Pedro , Viana Paula , Teixeira Inês , Andrade Maria
Published: July 2022

The subjectiveness of multimedia content description has a strong negative impact on tag-based information retrieval. In our work, we propose enhancing available descriptions by adding semantically related tags. To cope with this objective, we use a word embedding technique based on the Word2Vec neural network parameterized and trained using a new dataset built from online newspapers. A large number of news stories was scraped and pre-processed to build a new dataset. Our target language is Portuguese, one of the most spoken languages worldwide. The results achieved significantly outperform similar existing solutions developed in the scope of different languages, including Portuguese. Contributions include also an online application and API available for external use. Although the presented work has been designed to enhance multimedia content annotation, it can be used in several other application areas.
Big Data Problematic in Social Sciences of Fourth Generation Human Rights
Authors: YILMAZ Beyza , ÖZCAN Emre
Published: July 2022

Son dönemde bilim ve teknolojideki ilerlemelerin insanlık açısından kaygı uyandırıcı boyutlara ulaşması, insan haklarında yeni yaklaşımları ortaya çıkarmıştır. Bu yaklaşımlar, her ne kadar hukuki bir kesinliğe ulaşmasa da dördüncü
kuşak insan haklarında bir araya gelmektedir. Biyo-etik haklar, siber uzay hakkı, kişisel verilerin korunması hakkı gibi hak kategorileri dördüncü kuşak insan hakları arasında değerlendirilmektedir. Özellikle kişisel verilerin
korunması, çok daha kapsayıcı ve yaygın bir konu olduğundan insan hakları literatüründe öne çıkan bir vurgudur. Kişisel verilerin korunması hakkına yönelik en önemli tehditlerden biri, günden güne kullanımı artan büyük veri temasıdır.
Büyük veri gerek kamu gerekse de özel kurum ve kuruluşlarda “dijital devlet” bağlamında yaygın bir araç haline gelirken, sosyolojiden siyaset ve sosyal hizmete kadar sosyal bilimlerin birçok alanında genişleyen bir metodoloji halini
almaktadır. Yüksek bir temsil gücüne sahip olması, homojenleşmiş gruplara odaklanması gibi nedenlerle tercih edilen büyük veri çalışmalarında, kişisel verilerin korunmasının ne denli gözetildiği ayrı bir tartışma konusudur. Bu
noktada araştırmacıların etik sorumluluklarını hem araştırma gruplarının korunması hem de çalışmalarını çeşitli odakların çıkarlarına hizmet edecek şekilde karakterize etmemesi doğrultusunda genişletmesi beklenmektedir. Diğer taraftan
araştırma grupları da kişisel verilerinin hangi amaçlarla kimler tarafından kullanılacağı bağlamında kendilerinin de mesuliyet sahibi olduğunun farkında olmalıdırlar. Bunların doğrultusunda bu çalışma, sosyal bilimlerin farklı
alanlarındaki büyük veri çalışmalarının kişisel verilerin korunması odağında yarattığı açmazları değerlendirmektedir.
Relationship of Changes in Wheat Yield in Turkey with Temperature and Precipitation Conditions
Authors: İRDEM Cemil
Published: July 2022

Bu çalışmada 2004-2020 yılları arasında Türkiye’de buğday veriminde (durum buğdayı hariç) gözlenen alansal ve zamansal değişimler belirlenerek, iklim değişikliği bağlamında sıcaklık ve yağış koşulları ile verim ilişkilerinin ortaya
koyulması amaçlanmıştır. İstatistik analizler üç aşamada gerçekleştirilmiştir. İlk aşamada Türkiye’de yıllık buğday veriminde (durum buğdayı hariç) meydana gelen yıllar arası değişiklikler bölgesel karşılaştırmalarla belirlenmiştir.
Bu amaçla her bölge için o bölgeyi temsil edecek bir il seçilmiştir. İkinci aşamada aylık ortalama sıcaklık ve aylık toplam yağış verileri ile yıllık buğday verimi arasındaki istatistik ilişkiler analiz edilmiştir. Son aşamada
Türkiye’de olası iklim değişikliği senaryolarına göre buğday veriminde gerçekleşebilecek değişiklikler ele alınmıştır. İstatistik analizlerde Pearson korelasyon katsayısı ve basit doğrusal regresyon analizi yöntemi kullanılmıştır.
2004-2020 döneminde Türkiye’de buğday veriminin en yüksek olduğu bölge Marmara Bölgesi iken en düşük olduğu bölge Doğu Anadolu Bölgesi’dir. Aynı dönemde buğday üretimi verisi olan illerin %83,5’inde verim artmıştır. Yağışlarla
verim arasındaki ilişkiler sıcaklık verim ilişkilerine göre daha güçlüdür. Orta Anadolu, Güneydoğu Anadolu ve Doğu Anadolu bölgelerinde buğday ekim döneminde sıcaklıklarla verim arasında pozitif ilişki görülürken, başaklanma döneminde
negatif ilişki söz konusudur. Hasat döneminde gerek sıcaklık-verim gerekse yağış-verim ilişkileri diğer fenolojik dönemlere göre zayıftır. Meteoroloji Genel Müdürlüğünün hazırlamış olduğu GFDL-ESM2M küresel iklim modeli verilerinden
üretilen RCP8.5 senaryosuna göre 2016-2040 için Türkiye’de kış sıcaklıklarındaki artış en çok Akdeniz ve Marmara bölgelerinde buğday verimini olumsuz etkileyecektir. Aynı senaryoya göre özellikle Orta Anadolu ve Güneydoğu Anadolu’da
yağış azalmalarının buğday verimini düşürmesi beklenir.
A Traditional Dish of Mengen: Stuffed Kaldırık
Authors: SÜREN Tufan
Published: July 2022

Yöresel yemekler gastronomi turizminin değerlenen unsurlarındandır. Özellikle turizm potansiyeli düşük yörelerin, turizm faaliyetlerini canlandırma ve gelirlerini arttırmada yöresel yemeklerin tanıtımı önemli rol oynamaktadır. Bu doğrultuda
yöresel yemeklerin akademik literatüre kazandırılması, gastronomi turizmine katkı sağlamaktadır. Bu çalışmada Mengen’in yöresel yemeklerinden “kaldırık dolmasının” geleneksel yapımı, yemeğin ve kaldırık bitkisinin özellikleri,
servisi-sunumu ve yöresel kültürdeki önemi ortaya konmuş ve yemeğin korunması, unutulmaması için kayıt altına alınması amaçlanmıştır. Çalışma nitel bir araştırma olarak görüşme tekniği ile yürütülmüştür. Bu araştırmada kullanılmış
olan verilerin toplanabilmesi için gerekli olan etik kurul izin belgesi, Ankara Hacı Bayram Veli Üniversitesi Etik Komisyonu 23.03.2022 tarihli ve 03 sayılı toplantısında, 2022/72 araştırma kodu ile alınmıştır. Çalışmaya Mengen’de
ikamet eden, 60 yaş üzerinde, yemeği yapmayı bilen ve tecrübesi olan 11 kişi dahil edilmiştir. Katılımcıların bilgileri doğrultusunda yemeğin geleneksel yapımı ile yapıldığı özel gün ve zamanlar belirlenmiştir. Çalışma sonucunda
yemeğin temel hammaddesi olan kaldırık yaprağının mayıs-haziran aylarında ormandan toplandığı ve muhafaza için hızlıca kurutulması veya haşlanarak dondurulması gerektiği belirlenmiştir. Yemek; mısır unu, buğday unu, süt, tuz, karbonat
ve kavrulmuş soğandan yapılan iç harcın yaprağa konması ve sarılması ile yapılan yöresel bir dolmadır. Özellikle bayramlarda ve Mengen’de ikamet etmeyen bir hemşeri ilçeye geldiğinde yapılmaktadır. Bir katılımcı araştırmacı gözetiminde
yemeği pişirmiştir. Bu şekilde yemeğin yapımı ortaya konmuş, tarif fotoğraflar ile desteklenmiş ve sonucunda yemeğin standart reçetesi çıkarılmıştır. Mengen’in yöresel yemeklerinin korunması, bilinirliğinin artması, yöre turizmine
katkısının olması için yöresel yemek çalışmalarının çoğalması, işletmelerin ve gastronomi profesyonellerinin yöresel yemekleri öncelemesi gerektiği düşünülmektedir.
Application of Principal Component Analysis in Dealing with Multicollinearity in Modelling Clinical Data
Authors: Mishra Akash , Nair N Sreekumaran , Harichandrakumar KT , Binu VS , Satheesh Santhosh
Published: July 2022

Introduction: One of the stringent assumptions about covariates in the Cox hazard and Logistic regression modelling is that they should be independent. Incorporating correlated covariates as such into the model might distort the precision of the estimates due to multicollinearity. One way to deal with multicollinearity is by using Principal Component Analysis (PCA) technique. Aim: To demonstrate the application of PCA in dealing with correlated covariates while modelling time to event and casecontrol study data. Materials and Methods: This study was conducted at Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India, from February 2021 to January 2022. Two datasets were used for the demonstration i.e., data relates to a time to event outcome and a case-control study with binary outcome in which lipids were the correlated covariates. Three sets of Cox regression models were used to demonstrate change in hazard ratios with 95% Confidence Intervals (CI) for evaluating the effect of intervention at a different time of lipid measurement. Model I has evaluated treatment/ Body Mass Index (BMI) effect on the outcome by ignoring the effect of lipid parameters. Model II has evaluated treatment/ BMI effect on the outcome by incorporating lipid variables but ignoring multicollinearity. Model III has evaluated treatment/ BMI effect on the outcome by incorporating lipid variables through principal component analysis and thus adjusting for multicollinearity. Similarly, a logistic regression model was performed by using the same three sets of models to evaluate the effect of exposure (BMI). The comparability of lipids between the two groups for both datasets was tested using Hotelling’s T-squared statistic. Results: The lipids measured at 12th, 24th and 36th months between the two groups in the first data set as well as between cases and controls in the second data set were statistically significant. In the first dataset, at baseline, the Hazard Ratio’s (HR’s) were statistically similar irrespective of the models used; while decreasing successively with narrowing 95% CI’s as moving from model I to model III for the lipid measured at 12th, 24th and 36th months. Further, at 24th and 36th months, the HR in model-III found to be significant. In the second data set, the Odds Ratio (OR) were significant for all the three models and it was almost similar for model I and II but in model III it was elevated. Conclusion: The multicollinearity issue should be properly addressed before including correlated covariates in the Cox regression hazard and Logistic regression model. The PCA technique would be a favourable method.
Nutritional Composition and Antioxidant Property of Methanol Extract of Corchorus olitorius Leaf
Authors: Okugbo O. T. , Braie A. , Komolafe V. T. , Amiebenomo R.
Published: July 2022

Aims: This study investigates the phytochemicals, nutritional and antioxidant constituents of methanol extract of C. olitorius leaf using standard biochemical procedures.

Methodology: Corchorus olitorius (213.81 g) powdered leaves sample was soaked in 2.4 L of methanol respectively for 72 hr. Afterwards, the sample was filtered through a double-layered muslin cloth to obtain a filtrate which was placed in a rotary evaporator to dry off the solvent and stored. The proximate analysis, phytochemicals screening, mineral contents, antioxidant ability and phenolic compositions were determined for C. olitorius.

Results: The proximate analysis revealed that the C. olitorius extract contained 25.00% ash, 2.55% fat, 25.80% moisture, 5.50% crude fibre, 10.15% crude protein and 38.00% carbohydrate contents. Phytochemical screening indicated that flavonoids, tannins, cardiac glycosides, saponins, phenols and steroids were present in appreciable concentrations except for quinones and terpenoids. The mineral analysis of the extract showed considerable levels of potassium (1715.69 mg/100 g), calcium (33.43 mg/100 g), (sodium 49.62 mg/100 g), iron (16.78 mg/100 g) and manganese (9.44 mg/100 g) while magnesium (4.39 mg/100 g), copper (2.11 mg/100 g), zinc (2.94 mg/100 g) and lead (0.21 mg/100 g) were reduced. The extract showed high reducing power, diphenyl picrylhydrazine and H202 radicals scavenging abilities. However, the total antioxidant capacity was low compared to the standard, ascorbic acid. High performance liquid chromatography result revealed that quercitrin, quercetin, chlorogenic acid, syringic acid, epicatechin and kaempferol were present in high amounts in the extract.

Conclusion: Altogether, findings from this study indicated that C. olitorius leaf extract is a rich source of phytonutrients and mineral elements with ample antioxidative property (in vitro) that may be of relevance in the management of some degenerative conditions.
Access to Credit and Its Relationship with Information and Communication Technology Tools’ Adoption in Agricultural Extension among Peasants in Rangwe Sub-County, Kenya
Authors: Dimo J. C. , Maina S. W. , Ndiema A. C.
Published: July 2022

Access to agricultural credit is one of the key factors that boost the adoption of technologies to improve agricultural production. Information and Communication Technology (ICT) tools have been referred to as essential channels in the dissemination of agricultural extension information. However, it has been observed that the majority of peasants were not using them to access the information. The aim of this study was to delineate the level of agricultural credit access, sources of the credit, amount of the credit accessed, and the correlation between access to the credit and the use of ICT tools in the extension services among peasants. A correlation research design was utilized in this study at Rangwe Sub-County, Kenya. Data were collected with the help of pretested structured questionnaire from 106 peasants who grow cassava in the Sub-County. The data obtained were analyzed using Spearman’s correlation and descriptive statistics with the aid of Statistical Package for Social Science (SPSS) Version 25. Descriptive results revealed that 68% of the peasants interviewed had no access to the credit, while 32% had access. The majority (70%) of those who had the access received it from Saving and Credit Co-Operative (SACCOs). The majority (68%) received the lowest amount of credit. Spearman’s correlation revealed that there was a moderate, positive correlation between access to credit and the use of the ICT tools. The correlation was statistically significant at 1% level of significance (R = +.646**, P = .000, R2 =0.417). Access to credit appears to provide a positive and moderate correlation with the use of the ICT tools as it predicts 42% of the use of the tools in cassava production. The positive correlation coefficient indicates that an increase in access to agricultural credits among the peasants translates to an increase in the adoption of ICT tools in agricultural extension.
Behavioural Toxicity of a Combined Oilfield Chemicals on African Catfish (Clarias gariepinus) (Burchell 1822)
Authors: Davies I. C. , Uedeme-Naa B.
Published: July 2022

The toxicity of the combination of xylene and diesel at a 50:50 ratio on the African catfish (Clarias gariepinus) was investigated using a static bioassay for 96hrs. No significant difference (P>0.05) was observed in the Physicochemical parameters of the experimental water after exposure for 24 hours among the different concentration gradients and the controlled unit. Although there was an increased variation along the concentration gradient observed after 96hours. The behavioral responses of the test fish from 24-96 hours of exposure show normal behavioral responses in the control. C. gariepinus exposed to 25 ml/l to 50 mg/l concentration of the toxicant showed normal behavior from 24 to 48 hours. Afterward, the fish that were active stopped swimming and remained static for a while in response to the sudden changes in the surrounding environment. Generally, fish exposed to higher concentrations such as 100 ml/l to 250 ml/l of the test chemicals showed progressive hyperventilation and abnormal behavior like gulping air, erratic swimming movement, very fast swimming, jumping, and displaying vigorous jerky movement suffocation, and loss of reflex. A faster operculum and tail beat movement was also observed with Spiraling. The behavioral responses increased significantly (P<0.05) with an increase in concentration per time as compared to the control group of fish. The noticeable behavioural difference was recorded for the different concentrations of the test chemical. An eco-friendly chemical that is within the acceptable limits recommended by WHO and DPR should be used in well stimulation and cleaning for sustainable biodiversity and a healthy aquatic environment.
Additive Seasonality in Time Series using Row and Overall Sample Variances of the Buys-Ballot Table
Authors: Dozie Kelechukwu C. N. , Ihekuna Stephen O.
Published: July 2022

This study considers test for seasonality in the additive model using the Buys-Ballot table and the nature of trending curves (linear, quadratic and exponential). The test is applied to the periodic and overall sample variances of the Buys-Ballot table to detect the presence and absence of seasonal indices in time series.
Evaluation of Traditional Know-How for the Cultivation of Muskuwaari Transplanted Sorghum in a Context of Climate Change (Mayo-Danay and Mayo-Kani, Far North Cameroon)
Authors: Nenwala Pa Aï Vivien , Tchobsala . , Delphine Dongock Nguemo , Moussa Saliou , Adamou Ibrahima , Bernard Danwang Djaowe , Oumar Oumar Mahamat
Published: July 2022

Aims: Sorghum is a staple food crop and accounts for more than half of cereal production in the Far North region. It is ranked among the seven most important agricultural products in the CEMAC zone. Approximately 12% of this dry season sorghum, known as transplanted sorghum, is used extensively in the population's diet.

Study Design: The study conducted from 2017 to 2019 aims to assess the adopted techniques for better exploitation of Muskuwaari in the Far North region of Cameroon in a context where climate change has a strong influence on agricultural yield.

Methodology: The evaluation of Muskuwaari cultivation techniques is based on farmer surveys and direct field observations. A total of 390 people were surveyed in six  different villages in the two regions.

Results: Cultivation lasts from July to April, for a period of 10 months. Several activities were identified: primary preparation of the field from July to August, setting up nurseries from August (This activity is poorly represented in Kalfou (16.92% on both types of soil) and in Kaélé (18.46% on clay soil and 13.85% on hydromorphic soil), preparation of the field from September (The most common techniques used today are spraying and transplanting (Technique 6): 34.92% in Guidiguis, 52.31% in Touloum, 50.77% in Kaélé, 62.50% in Kalfou, 35.38% in Doukoula, 55.38% in Tchatibali on average for the clay type soil and 40,63% in Guidiguis, 47.69% in Touloum, 56.92% in Kaélé, 52.46% in Kalfou, 47.62% in Doukoula, 46.77% in Tchatibali on average for the hydromorphic type soil), transplanting from September, weeding from November and harvesting from January. These activities vary according to the type of soil used and the villages.

Conclusion: The analysis of these Muskuwaari cultivation techniques showed a slight shift in relation to the cultivation calendar described in the past by other authors. This shift is caused by the change in climate that shortens and/or extends the rainy season from one year to the next.
A Comparison of Implicit and Modified Implicit Finite Difference Schemes for Solving Parabolic Equations
Authors: Johnson Omowo Babajide , Oluwaseun Longe Idowu , Nnamdi Osakwe Charles , Oghale Amuno Elo , Chukwuma Ejeh Michael
Published: July 2022

This paper presents the comparison of implicit scheme and modied implicit scheme for solving parabolic partial dierential equations, the modied implicit scheme is compared with the implicit scheme using its stability, local truncation error, derivation and numerical examples. Following this, it was discovered that the modied implicit scheme can be used as an alternative scheme to the implicit scheme for solving problems on parabolic partial dierential equations.