bluuebunny/crossref_metadata_2025 huggingface dataset:
Homozygous variant FOXE3 causes autosomal recessive anterior segment dysgenesis type 2: a case report
Authors: Alkhaldi Zuha , Allawati Moosa , Alhashmi Nadia
Published: March 2023

Background: Anterior segment dysgenesis (ASD) is a developmental condition that affects the frontal part of the eyes. Genetic mutations in FORKHEAD BOX E3 can lead to a variety of ASD conditions.
Case Presentation: Here, we report a 2-year-old female patient with ASD type 2 autosomal recessive linked disease. Whole exome sequencing test was conducted and resulted in a missense mutation at position 120 altering arginine to proline. To our knowledge, this is the first case reported in Oman.
Conclusion: For patients with ASD, it is crucial to take the full family history and genetic work up to aid in the diagnosis and long-term management of the condition.
Comments on New Provisions of the Law on Amendments to of the Intellectual Property Law of 2022 Concerning the Protection of Inventions and Industrial Designs
Authors: Phuc Nguyen Van
Published: March 2023

Bảo hộ quyền sở hữu công nghiệp đối với sáng chế, kiểu dáng công nghiệp luôn là vấn đề nhận được rất nhiều sự quan tâm, nhất là trong điều kiện các Hiệp định thế hệ mới (FTA) đã có hiệu lực tại Việt Nam. Tuy nhiên, trong quá trình áp dụng những quy định này tại Việt Nam còn gặp nhiều vướng mắc cần được sửa đổi, bổ sung để phù hợp với thực tiễn pháp lí và cam kết quốc tế. Trên cơ sở đó, sau thời gian đề xuất ngày 16/6/2022 Luật sửa đổi, bổ sung một số điều của Luật sở hữu trí tuệ năm 2022 đã chính thức được quốc hội thông qua với nhiều quy định mới liên quan đến bảo hộ sáng chế và kiểu dáng công nghiệp. Bài viết tập trung bình luận một số quy định mới về bảo hộ sáng chế, kiểu dáng công nghiệp được quy định trong Luật sửa đổi, bổ sung một số điều của Luật sở hữu trí tuệ năm 2022; phân tích, đánh giá sự tương thích với các Điều ước quốc tế về sở hữu trí tuệ, pháp luật một số quốc gia. Từ đó, đề xuất các giải pháp thực thi hiệu quả các quy định mới về bảo hộ sáng chế và kiểu dáng công nghiệp phù hợp với thực tiễn tại Việt Nam và các điều ước quốc tế.
A review on ethno-medicinal plants used in west Kalimantan
Authors: Iskandar Dodi , Widodo Nashi , Warsito Warsito , Masruri Masruri , Rollando Rollando
Published: March 2023

The purpose of the current study is to review ethno-medicinal plant used by natives in West Kalimantan Province in last five years. The methods used is gathering earlier publications in journals completed with pharmacological evidence of local medicinal plants. The present review result reported that 346 specieses belonging to 95 families have been utilized in West Kalimantan Province. Zingiberceae has the top number of plant of families (25) followed by Rubiaceae (17), Fabaceae (16), Asteraceae (14), Euphorbiaceae (13), Poaceae (13), Verbenaceae (13), Liliaceae (10), other families (<10).  The tabulated plant species in this study are frequently used as herbal medicine for the treatment of miscellaneous deseases and the medication safety of local people. Parts of plant used as herbal medicine are leaves (46.1%) followed roots (15.7%), fruits (9.5%), rhizomes (6.7%), all parts (5.9%), stems (5.4%), seeds (2.3%), saps (1.3%), pericarps (1.0%), flowers (0.8%), shoots (0.8%), stalks (0.8%), tubers (0.8%), and twigs (0.3%). The majorities of used methods for traditional medicine are decoction and infusion. The information of this current review includes local names, species, families, used parts, and medical uses. All the medicinal plants reported in this study have been used by West Kalimantan people for the treatment of various deseases
ANÁLISE DO PERFIL EPIDEMIOLÓGICO DOS EXAMES CITOPATOLÓGICO DO COLO DO ÚTERO EM ALTAMIRA NO PERÍODO DE 2014 A 2020: DADOS A PARTIR DO SISCAN
Authors: De Assis Neto Ciro Francisco Moura , Colaça Bianca de Assunção , Llanco Yeltsin Samir Chamane
Published: March 2023

OBJETIVO: Este trabalho aborda sobre características referente aos exames citopatológicos do colo do útero em Altamira, coletado no Sistema de Informação do Câncer, dentro do período de 2014 a 2020. Observou-se também a qualidade da interpretação dos principais resultados encontrados, sobre a técnica de coleta e qualidade de exames. O objetivo é analisar o perfil epidemiológico dos exames citopatológicos do colo do útero do município. MÉTODO: A metodologia realizada foi estudo quantitativo, de corte transversal, epidemiológico, descritiva e analítico. RESULTADOS: Verificou-se um crescimento anual na taxa de cobertura do exame do preventivo no período de 2014 a 2019, que está ligado à implementação do Plano de Desenvolvimento Regional Sustentável do Xingu, e que esse crescimento mostra uma diferença estatística significativa entre a taxa de cobertura de Altamira, Pará, Brasil. Observou-se presença de falhas no preenchimento da ficha de notificação é referente ao campo da escolaridade das pacientes que não apresentam registro. Quanto a faixa etária mais frequente que realizam o exame do preventivo está entre 25 a 34 anos e as lesões intraepiteliais do colo uterino mais frequentes são: a de baixo grau que corresponde à população jovem (<34 anos) e de alto grau entre 25 a 44 anos.
INTERVENÇÕES NÃO FARMACOLÓGICAS NO MANEJO DA OBESIDADE INFANTIL: UMA OVERVIEW
Authors: Da Silva Chrisllayne Oliveira , Pereira Francisco Gilberto Fernandes , Ibiapina Aline Raquel de Sousa , Claro Maísa de Lima , Leite Joyce Rayane , Cirilo Maysa Victória Lacerda , Moreno Stefane Marinho , Lima Luisa Helena de Oliveira
Published: March 2023

Objetivo: Analisar na literatura científica a efetividade das intervenções não farmacológicas para o manejo da obesidade infantil. Método: Trata-se de uma revisão sistemática do tipo overview. As bases científicas para coleta de dados foram: Cinahl, Cochrane, Lilacs, Medline, Scopus, Scielo e Science direct, e todo o processo de seleção foi feito por pares e avaliado pelo teste Kappa. A análise dos estudos utilizou os instrumentos: AMSTAR para avaliação da qualidade metodológica, Robis 2.0 para avaliação do risco de viés, e o Sistema Grade para classificar nível de evidência. Resultado: 17 estudos foram considerados elegíveis, e avaliação das evidências demonstrou que as intervenções não farmacológicas são efetivas para o manejo da obesidade infantil, sendo classificadas pelo Sistema Grade com alto e moderado nível de evidência. Essas intervenções são caracterizadas como: comportamentais, educacional, familiar, nutricional e tecnológica e são capazes de promover mudanças no Índice de Massa Corporal e estilo de vida. Conclusão: As intervenções não farmacológicas são capazes de promover mudanças positivas quanto ao comportamento alimentar e manejo da obesidade, entretanto os resultados não são imediatos.
IMPLEMENTASI KURIKULUM ROBOTIK UNTUK PERSIAPAN SISWA DALAM MENGHADAPI REVOLUSI INDUSTRI 4.0 DI MTS AR-RUHAMA KUNINGAN
Authors: Rizal Moch. Fahru , Akbar Moh. Deni , Ridwan Ari Yanuar , Rochmawati Rochmawati
Published: March 2023

Revolusi Industri 4.0 berdampak pada banyak bidang termasuk dalam pendidikan keagamaan. Penelitian mengenai Eksistensi Pendidikan Islam di Era revolusi industri 4.0 menyatakan bahwa terjadi dampak yang besar pada pendidikan Pesantren dan Madrasah. Lembaga pendidikan harus mempersiapkan diri supaya dapat beradaptasi dan menghasilkan lulusan yang bisa kompetitif sekaligus kontributif bagi kemajuan bangsa. Kecerdasan buatan, otomasi, robotik, dan cyber physical system adalah jenis keterampilan yang harus dimiliki dalam menghadapi era RI 4.0 Saat ini kurikulum pendidikan dan kegiatan ekstra kurikuler di Madrasah ar-Ruhama belum mendukung hal tersebut, hal ini merupakan salah satu tujuan abdimas, desain dan implementasi kurikulum Robotik dan otomasi yang disesuaikan dengan kebutuhan kurikulum sekolah di tingkat Madrasah Tsanawiyah Ar Ruhama. Implementasi abdimas ini dilakukan dalam tiga tahap, yaitu : (1) Pengembangan kurikulum robotik; (2) Pengembangan kapasitas pengajar terkait kurikulum robotik; (3) Pembentukan ekstrakurikuler Robotik. Penilaian hasil abdimas dilakukan melalui kuisioner pada peserta menghasilkan data bahwa lebih dari 50% peserta setuju atas keberlanjutan dan manfaat program abdimas.
PENGEMBANGAN DESAIN BRAND IDENTITY DAN APLIKASINYA PADA IKM PRODUK PASTRY MODERN (STUDI KASUS DIASPORA INDONESIA ABU DHABI NENZ GOURMET)
Authors: Putri Sheila Andita , Mawarni Gabriella Chrismaditya Putri , Bahri Nurul Fitriana , Pambudi Terbit Setya
Published: March 2023

Diaspora Indonesia atau Orang Indonesia perantauan adalah orang-orang dengan keturunan Indonesia yang menetap di luar Indonesia. Istilah ini berlaku bagi orang-orang yang lahir di Indonesia dan berdarah Indonesia yang menjadi warga negara tetap atau menetap sementara di negara asing. Dilansir dari Sindonews 9 September 2021, Diaspora Indonesia di Abu Dhabi membangun jejaring melalui komunitas Anyone Can Cook (ACC) di Abu Dhabi, Ibu Kota Uni Emirat Arab (UEA) untuk membangun jejaring dengan sesama warga negara Indonesia (WNI) sekaligus memperkenalkan produk-produk lokal Indonesia kepada masyarakat internasional. Salah satu diaspora di Abu Dhabi yang juga aktif di komunitas ACC, Ny. Nenden Setiawati, kini mengembangkan produk kuliner untuk dipasarkan di tanah air. Menggunakan merek dagang “Nenz Gourmet”, Ny. Nenden menjual berbagai macam kue dan roti (pastry) modern yang sempat ia pelajari di Abu Dhabi. Hingga saat ini, Nenz Gourmet mengandalkan pemasaran Word of Mouth (WoM) yaitu suatu aktifitas yang mana konsumen memberikan informasi mengenai suatu merek atau produk kepada konsumen lain. Kendala yang muncul adalah konsumen masih sulit mengenali, menemukan, dan mengingat IKM Nenz Gourmet tersebut akibat belum adanya tanda pengenal merek (Brand Identity) untuk produk yang ditawarkan. Brand Identity ini akan diaplikasikan secara konsisten kepada semua atribut yang berhubungan dengan Merek Nenz Gormet, seperti kemasan, banner, hingga katalog. Oleh karena itulah, kegiatan pengabdian yang dilakukan mencakup Pengembangan Desain Brand Identity dan Aplikasinya pada IKM Nenz Gourmet. Tujuannya adalah untuk membantu proses pemasaran produk yang dimiliki oleh mitra. Adapun luaran yang dihasilkan berupa Brand Identity siap pakai dan Format Brand Identity yang dapat diaplikasikan oleh anggota komunitas ACC Diaspora Abu Dhabi lainnya.
PERANCANGAN DESAIN KEMASAN PRODUK GULA SEMUT PESANTREN AT-TAQWA SALAWU TASIKMALAYA
Authors: Naufalina Fariha Eridani , Rendra Meldi , P. Muhammad Almaududi
Published: March 2023

Kemandirian ekonomi merupakan salah satu fondasi penting keberlangsungan proses pendidikan di pesantren. Kesadaran akan hal tersebut membuat pesantren berusaha membuat berbagai usaha kecil menengah untuk dapat meningkatkan kemandirian ekonomi. Pesantren At taqwa Salawu Tasikmalaya, salah satunya, merintis usaha pembuatan gula semut yang merupakan salah satu komoditas unggulan yang dimiliki oleh daerah Salawu. Pesantren sudah mampu melakukan produksi gula semut dengan baik. Namun, kemampuan produksi tersebut tidak dibarengi dengan kemampuan pengemasan yang baik. Padahal, kemasan merupakan aspek pertama yang dilihat oleh konsumen. Kemasan yang tidak menarik dengan kualitas produk yang bagus dapat kalah bersaing dengan produk yang sebaliknya. Oleh sebab itu, pengabdian masyarakat dilakukan untuk mendampingi pesantren dalam merancang kemasan gula semut yang tidak hanya memiliki nilai estetik namun juga didukung dengan fungsional kemasan yang baik. Perancangan kemasan dilakukan dengan metode focus group disertai dengan in-depth interview dan market observation untuk dapat melakukan deliver yang baik dari keinginan pesantren, keinginan pasar kepada rancangan kemasan. Uji coba kemasan baik terhadap desain dan bahan kemasan dilakukan beberapa kali. Rancangan kemasan yang dihasilkan memiliki warna dominan coklat dengan jenis full color printing pada seluruh bagian kemasan yang dilengkapi dengan zipper.
EFFECT OF PRESERVATION METHODS ON THE STORAGE OF YELLOW PUMPKIM PUREE
Authors: Sarono Sarono , Widodo Yatim R.
Published: March 2023

Puree is a fruit paste with a moisture content of about 60% of the process of steaming and crushing the fruit or often called a ready-to-cook (RTC) product. One of the problems of this puree is that high moisture content causes the puree to easily be damaged. The purpose of this study was to determine the effect of storage temperature, addition of sugar, the use of ammonium benzoate to shelf life of pumpkin puree. Treatment of the study were (1) Addition of sugar with level 20%; 30%; 40%; and 50%, (2) addition of sodium benzoate, with level 1,000 ppm, 2,000 ppm, 3,000 ppm, and (3) storage temperature, with room temperature level and cool box. The results showed that (1) Storage at cold temperatures (0-5oC) was more effective to increase shelf life of yellow pumpkin puree compared with addition of sugar and use of ammonium benzoate preservatives, (2), sugar addition to 30% less effective for prolonging life keep the pumpkin puree, (3) The addition of ammonium benzoate to 3,000 ppm can improve the shelf life of the yellow pumpkin puree.
FERMENTED SWEET POTATO FLOUR
Authors: Joen Deary Amenthy Zahrotinufus , Soeherman Giffary Pramafisi , Fahrulsyah Fahrulsyah
Published: March 2023

Sweet potatoes ( Ipomea batatas L.) is a source of carbohydrates.  The high carbohydrate content makes sweet potatoes very potential to be processed into flour.  However, naturally processed sweet potato flour has some drawbacks when applied to food.  To overcome this problem, it is necessary to modify the processing process for sweet potato flour.  One way to modify flour can be done by fermentation using Lactic Acid Bacteria (BAL).  The principle of modification by fermentation in a spontaneous way that is thought to grow is Lactic Acid Bacteria (BAL) which produce pektinolytic and sellulolytic enzymes that can destroy the cell walls of yams so that starch hydrolysis occurs. In addition, the duration of fermentation will affect the fermentation results.  The purpose of this experiment was to determine the effect of spontaneous fermentation on the color of sweet potato flour.
Protective Effects of the Polyphenolic-Rich Fraction of Cornsilk against Oxidative Stress in Streptozotocin-Induced Diabetic Rats
Authors: Hamzah Nurraihana , Safuan Sabreena , Wan Ishak Wan Rosli
Published: March 2023

Diabetes Mellitus (DM) has become a significant public health problem worldwide and primarily correlated to hyperglycaemia and abnormal lipid and antioxidant levels. Fruit and vegetable wastes are rich in phenolic compounds thus suitable for antioxidant sources. Cornsilk (CS), a maize cultivar waste, also contains phenolic compounds. The current study investigated the anti-hyperglycemic and antioxidative properties of the Phenolic-Rich Fraction of Cornsilk (PRF-CS) in Streptozotocin (STZ)-induced diabetic rats. Five groups of 30 male Sprague Dawley rats were employed in this study. A sample size of six rats each is placed in five groups: Normal-Control (NC), Diabetic-Control (DC), Diabetic-PRF-CS treated 100 mg/kg (DPRF100) and 200 mg/kg (DPRF200), and Diabetic-Metformin Treated (Dmet) groups. The PRF-CS was administered at 100 and 200 mg/kg doses for 28 consecutive days to the diabetic rats. Treatment with both doses of PRF-CS (DPRF100 and DPRF200) significantly decreased the blood glucose levels of the rats (p<0.05). Additionally, the PRF-treated rats demonstrated significantly decreased (p<0.05) lipid peroxidation (3.60±0.23 and 3.31±0.56 µmol/g, respectively). The hepatic antioxidant enzyme activities of Superoxide Dismutase (SOD) (169.35±4.75 and 175.30±3.69 U/mg, respectively), Catalase (CAT) (1457.51±152.74 and 2011.99±396.96 U/mg), and Glutathione Peroxidase (GSH-Px) (63.43±2.99 and 78.47±4.51 U/mg) were also elevated in contrast to the DC group. Furthermore, the PRF-CS administration improved the histological alterations in the liver tissues of the DPRF100 and DPRF200 rats. In conclusion, PRF-CS treatment exhibited protective effects in the diabetic rat model by decreasing oxidative stress and preserving liver integrity.
Analisis Usabilitas Pada Purwarupa Sarung Tangan Elektrik Pasien Stroke Tangan
Authors: Fauzan Donny Muhammad , Hendrawan Aloysius Tommy , Khoiri Halwa Annisa
Published: March 2023

Stroke dapat mengganggu kemampuan otak untuk mengirim pesan ke syaraf dan otot. Terapi sarung tangan kejut listrik untuk pasien stroke adalah cara aman untuk merangsang syaraf yang membuat otot tangan pasien stroke berkontraksi, di harapkan pasien bisa menggerakkan tangannya kembali. Penelitian ini bertujuan untuk menganalisis usabilitas pada purwarupa sarung tangan elektrik untuk pasien stroke. Penelitian ini dilakukan dengan menggunakan metode kualitatif. Penelitian ini menghasilkan kesimpulan bahwa tingkat kemudahan (learnablty) produk sarung tangan terapi elektrik cukup baik, sehingga produk ini layak karena mudah untuk digunakan. Tingkat efisiensi (efficiency) produk sarung tangan terapi elektrik cukup baik, sehingga produk ini layak karena efisien untuk digunakan dalam masa penyembuhan. Tetapi karena dalam masa ujicoba produk ini perlu di lakukan pengawasan oleh peneliti untuk mengantisipasi kendala-kendala pada saat rehabiltas stroke. Tingkat kemudahan untuk diingat (memorability) produk sarung tangan terapi elektrik cukup baik, sehingga produk ini layak karena mudah untuk diingat oleh pasien stroke dalam menggunakan tombol on/off dan potensio karena terdapat panduan penggunaan. Serta tingkat kesalahan dan kelemahan (errors) produk sarung tangan terapi elektrik cukup baik, sehingga produk ini layak karena memliki tingkat keamanan yang cukup tinggi untuk digunakan oleh pasien stroke dalam masa rehabilitasi. Tingkat kepuasan (satisfaction) produk sarung tangan terapi elektrik cukup baik, responden menyukai sarung tangan karena memiliki keamanan dan kenyamanan, dampak positif dalam penggunaan, kemudahan dalam mengoprasikan alat terapi, ekonomis, pasen lebih memilih produk ini dibandingkan dengan produk terapi lainnya.
Analisis Postur Kerja Dengan Metode REBA Untuk Mengurangi Keluhan Musculoskeletal Pada Petani Padi Di Desa Sugihrejo Magetan
Authors: Setyawan Hanafi , Hendrawan Aloysius Tommy , Untari Erny
Published: March 2023

Petani di Desa Sugihrejo Kecamatan Kawedanan Kabupaten Magetan masih menggunakan cara tradisional dalam melakukan pekerjaannya artinya masih menggunakan tenaga fisik dibandingkan menggunakan alat-alat modern. Seperti menggunakan cangkul saat menggarap sawah dibandingkan menggunakan traktor. Dari hasil penelitian posisi kerja petani saat menanam padi yaitu membungkuk dan berdiri. Posisi kerja ini sangat tidak ergonomis karena dapat mengakibatkan punggung, pinggang, leher, lengan, dan kaki petani menjadi cepat mengalami lelah dan sakit. Penelitian ini bertujuan untuk menganalisis postur kerja dengan menggunakan metode REBA dan bantuan kuesioner Nordic Body Map untuk mengurangi keluhan musculoskeletal pada petani padi di Desa Sugihrejo Kecamatan Kawedanan Kabupaten Magetan. Berdasarkan hasil kuesioner Nordic Body Map (NBM) yang telah dibagikan oleh 28 responden, hasil Nordic Body Map (NBM) memperlihatkan adanya keluhan pada bagian tubuh petani padi. Keluhan terbanyak didapatkan pada postur tubuh bagian tangan kanan dengan hasil pada 4 responden menyatakan sangat sakit (SS) dengan persentase 14%, sakit (S) hasil pada 19 responden dengan persentase 68%, agak sakit (AS) hasil pada 4 responden dengan persentase 14%, tidak sakit (TS) hasil 1 responden dengan persentase 4%. Dan postur tubuh bagian punggung dengan hasil pada 17 responden menyatakan sangat sakit (SS) dengan presentase keluhan 61%, sakit (S) hasil pada 7 responden dengan persentase 25%, agak sakit (AS) hasil pada 4 responden dengan persentase 14%, tidak sakit (TS) hasil 0 responden dengan persentase 0%. Dan postur tubuh bagian kaki kanan dengan hasil pada 10 responden menyatakan sangat sakit (SS) dengan presentase keluhan 36%, sakit (S) hasil pada 14 responden dengan persentase 50%, agak sakit (AS) hasil pada 3 responden dengan persentase 11%, tidak sakit (TS) hasil 1 responden dengan persentase 1%. Dari hasil penilaian level resiko menggunakan metode REBA tersebut, peneliti dapat mengatakan bahwa petani padi bagian menanam padi, memanen padi maupun mencangkul, seluruhnya mengalami postur kerja yang berisiko dan cidera.
Analisis Dan Desain Sistem Informasi Untuk Tata Kelola Administrasi Pada SMA Negeri 1 Barat
Authors: Vantika Dicky Vidha , Lenawati Mei
Published: March 2023

Pesatnya perkembangan teknologi informasi dan sistem informasi di era digitalisasi seperti sekarang ini membuat masyarakat cenderung cepat dalam mengikuti arus perkembangan teknologi, menuntut adanya ketersediaan informasi yang cepat, tepat dan akurat. Setiap instansi baik instansi pemerintahan maupun swasta pasti membutuhkan sistem informasi yang mampu menunjang kinerjanya untuk mendapatkan serta menghasilkan informasi dengan cara yang lebih efektif dan efisien.Kendala yang ada pada SMA Negeri 1 Barat yaitu proses pengelohan data surat menggunakan cara manual yang masih memiliki kendala yaitu keamanan data yang kurang terjamin maka peneliti membuat sebuah sistem administrasi surat berbasis website yang dapat mempermudah pekerjaan petugas tata usaha. Adapun metode yang digunakan dalam penelitian ini adalah waterfall.Metode waterfall dipilih dalam pembuatan sistem pada penelitian ini dikarenakan memiliki proses pembuatan sistem yang terorganisir. hasil kuesioner usability testing yang disebarkan terhadap 10 reponden yang meliputi kepala sekolah,pegawai yang ada di Tata Usaha SMA Negeri 1 Barat mendapatkan skor 68 masuk dalam Grade Scale “D” dan Adjective Rating “Good” yang berarti web yang sudah dibuat masuk kategori “Acceptable” atau sudah bisa diterima.Kesimpulan :Dalam penelitian ini menghasilkan luaran berupa sistem informasi tata kelola administrasi surat berbasis website,dimana website ini diharapkan dapat mempermudah pihak sekolah dalam melakukan arsip surat.
Processable crosslinked terpolymers made from elemental sulfur with wide range of thermal and mechanical properties
Authors: Yan Peiyao , Wang Haoran , Dodd Liam James , Hasell Tom
Published: March 2023

Elemental sulfur, a by-product of the purification of crude oil, is an underused material produced in excess. Inverse vulcanization, a process that uses comonomers to stabilise polymeric sulfur to form high sulfur content (>50 wt.%, normally) polymers, has emerged as a popular strategy for transforming this waste material, elemental sulfur, into functional polymers. Inverse vulcanized polymers are intrinsically processable and recyclable, and have been demonstrated as promising for applications in many fields. If this kind of material is to be widely used in some scenarios to replace some traditional plastics, it is necessary to make them with appropriate thermal and mechanical properties that meet the basic application requirements. Mechanical properties of inverse vulcanized polymers are currently under developed; research on sulfur polymers with a wide range of thermal properties and good mechanical properties needs to be developed. Here, we report series of terpolymers copolymerized from two distinct organic comonomers and elemental sulfur to obtain polymers with a wide range of glass transition temperature (-43 °C to 45 °C) and exhibiting good mechanical properties (varying from stiff and hard to flexible and tough), by blending crosslinkers with varying feed monomer ratio and varying chain length of linear sections, which expands the application opportunities of inverse vulcanization.
Unanticipated Thio-oxidation of Organophosphite Chemical Additives in PVC Microplastics Following In-Situ Weathering
Authors: Chen Wanzhen , Almuhtaram Husein , Andrews Robert , Peng Hui
Published: March 2023

Microplastics have emerged as contaminants of concern due to their worldwide distribution and persistence. Following environmental weathering the chemical composition of microplastics may be altered by physicochemical processes. In this study, nontargeted analysis was employed to examine changes in the chemical composition of five different types of microplastics that had been subjected to 16 weeks of in-situ exposure to flowing river water. The highest number of observed peak features was associated with PVC (12,043), among which 2,086 were newly formed. It was unanticipated that three organothiophosphates, including triphenyl thiophosphate (TPTP), would have the highest abundance following in-situ exposure of PVC microplastics. The abiotic formation of organothiophosphates was confirmed via in-lab simulation trials following 6 weeks of artificial weathering. To further investigate potential reaction mechanisms, triphenyl phosphite (TPPi) and PVC microplastic particles were individually incubated along with five major sulfur species. Elementary sulfur (S8) and sulfide (S2-) were observed to be responsible for the formation of TPTP via the thio-oxidation of TPPi. This is the first known report of thio-oxidation as a transformation pathway, highlighting the importance of considering chemical transformations when conducting microplastic risk assessments.
Borophene: A Piezocatalyst
Authors: Sharma Aditi , Bhardwaj Upasana , Marinova Maya , Da Costa Antonio , Ferri Anthony , Royer Sebastien , Dhainaut Jérémy , Singh Kushwaha Himmat
Published: March 2023

Borophene was successfully synthesized by modifying the Hummer's approach. Under the influence of ultrasonic vibrations, two-dimensional borophene sheets exhibit exceptional piezocatalytic activity, as exemplified by the decomposition of highly stable organic pollutants in water. After only 1 minute of exposure, the piezocatalytic activity of borophene sheets converted up to 99 percent of the initial molecules of rose bengal dye (50 mg/L) at room temperature, neutral pH. The principal active oxidant species have been identified as superoxide (•O2-) and hydroxyl radicals (•OH) formed from H2O and dissolved O2. The induction of polarized electric charges has also been measured during the process. Further elucidation of the piezocatalytic mechanism suggests that the piezocatalytic efficiency can be related to the piezoelectric effect generating electric charges to increase charge transfer during chemical redox reactions. Our research provides new insights into the preparation of borophene and its use as piezo catalysts for environmental catalysis.
Building Machine Learning Models for Reactivity Prediction in Radiation-Induced Graft Polymerization Using Interpretable Parameters
Authors: Matsubara Kiho , Takahashi Kei , Matsuda Takeshi , Ueki Yuji , Seko Noriaki , KAKUCHI RYOHEI
Published: March 2023

Machine learning prediction models for radiation-induced graft polymerization reactivity of methacrylate monomers were feasibly built with chemically interpretable parameters. The reactivity can be predicted based on the decision-tree-based machine learning algorithms. Among these algorithms, the XGBoost algorithm exhibited a good performance using five interpretable parameters: the solvation free energy of the methacrylate monomer in water, solvation free energy of the methacrylate monomer in hexane, methacrylate monomer radius, conformational entropy of the methacrylate monomers, and the dipole moments of the methacrylate monomers. The machine learning model building resulted in effective reactivity predictions and unveiled important factors for the radiation-induced graft polymerization in a chemically interpretable fashion.
Promising anode materials for alkali metal ion batteries: A case study on cobalt anti-MXenes
Authors: Banerjee Subhadeep , Narwal Ankita , Reddy Sandeep K. , Yamijala Sharma S. R. K. C.
Published: March 2023

There is a continuous demand for energy storage devices with high energy density in consumer electronics, electric vehicles, and the grid energy market. Although commercial lithium-ion batteries (LIBs) satisfy the current needs, the limited availability of raw materials and moderate specific charge capacities (SCC) of LIBS, motivated scientists to search for alternate anode materials for LIBs and also to find technologies beyond LIBs. In this work, we studied the potential of six Cobalt anti-MXenes (CoAs, CoB, CoP, CoS, CoSe, and CoSi), a class of newly discovered 2D materials, as anode materials for lithium, sodium, and potassium ion batteries (LIBs, NIBs, and KIBs). We found that these materials are good electrical conductors and have high adsorption stability for the alkali metal ions, which helps to prevent the formation of dendrites and increase the cycle life of the battery. They also show moderate to low migration energy barriers (MEBs), indicating the potential for faster charge-discharge kinetics. We also explained the slightly counter-intuitive result of observing low MEBs along with high adsorption stability. Furthermore, Co-anti-MXenes can adsorb multiple alkali atoms per formula unit, resulting in high specific charge capacities and low average anodic voltages. For example, as anode materials for lithium-ion batteries, CoP and CoSi have SCC values of 1075.4 mAh g-1 and 934 mAh g-1, and anodic voltages as low as 0.28 V and 0.43 V, respectively. Moreover, even the maximally metallated Co-anti-MXenes did not show agglomeration tendency at room temperature. Also, the volume expansion of these materials is minimum for both Li and Na adsorption. As a whole, we find that Co-anti-MXenes can act as promising anode materials for alkali metal ion batteries.
Recent Developments in Noncovalent Interaction Methods
Authors: Sethio Daniel
Published: March 2023

The development of noncovalent interaction methods has been a long journey since the first use 40 years ago. Enormous efforts have been made, starting from a simple semiempirical approach to a complex wavefunction approach. In this review, we will first discuss a classification of molecular forces, followed by the recent method development of noncovalent interactions. Mainly, we will focus on dispersion-corrected methods in density functional theory, semiempirical molecular orbital, and wavefunction-based approaches.
pyCHARMM: Embedding CHARMM Functionality in a Python Framework
Authors: Buckner Joshua , Liu Xiaorong , Chakravorty Arghya , Wu Yujin , Cervantes Luis , Lai Thanh , Brooks Charles
Published: March 2023

CHARMM is rich in methodology and functionality as one of the first programs addressing problems of molecular dynamics and modeling of biological macromolecules and their partners, e.g., small molecule ligands. When combined with the highly developed CHARMM parameters for proteins, nucleic acids, small molecules, lipids, sugars, and other biologically relevant building blocks, and the versatile CHARMM scripting language, CHARMM has been a trendsetting platform for modeling studies of biological macromolecules. To further enhance the utility of accessing and using CHARMM functionality in increasingly complex workflows associated with modeling biological systems, we introduce pyCHARMM, Python bindings, functions, and modules to complement and extend the extensive set of modeling tools and methods already available in CHARMM. These include access to CHARMM function-generated variables associated with the system (psf), coordinates, velocities and forces, atom selection variables and force field related parameters. The ability to augment CHARMM forces and energies with energy terms or methods derived from machine learning or other sources, written in Python, CUDA or OpenCL and expressed as Python callable routines is introduced together with analogous functions callable during dynamics calculations. Integration of Python-based graphical engines for visualization of simulation models and results is also accessible. Loosely coupled parallelism is available for workflows such as free energy calculations, using MBAR/TI approaches or high-throughput multisite 𝜆-dynamics (MSλD) free energy methods, string path optimization calculations, replica exchange and molecular docking with a new Python-based CDOCKER module. CHARMM accelerated platform kernels through the CHARMM/OpenMM API, CHARMM/DOMDEC and CHARMM/BLaDE API are also readily integrated into this Python framework. We anticipate that pyCHARMM will be a robust platform for the development of comprehensive and complex workflows utilizing Python and its extensive functionality as well as an optimal platform for users to learn molecular modeling methods and practices within a Pythonfriendly environment such as Jupyter Notebooks.
Adjoint Sensitivity Method for Kohn-Sham Equations
Authors: Kadilenko Evgeny M. , Grinis Roland
Published: March 2023

We study the discrete adjoint to Roothan equations and develop a fast approach to calculate the total derivative of KS-DFT electronic energy with respect to parameters of exchange-correlation functional, proving it both theoretically and computationally correct.
Vibration Induced Flow Facilitating Affinity-Based Aggregation for Rapid Detection and Quantification of Nanoparticles
Authors: Kaneko Kanji , Tsugane Mamiko , Sato Taku , Hayakawa Takeshi , Hasegawa Yosuke , Suzuki Hiroaki
Published: March 2023

The detection of bioactive nanoparticles (NPs) plays an important role in the medical and diagnostic fields. Conventional techniques for the sensitive detection of target NPs must overcome challenges such as long processing time, complex sample preparation, and high cost. Here, we show that vibration-induced flow (VIF), in which a local flow is induced around microscopic objects by applying small periodic vibrations, can be used to realize rapid, facile, highly sensitive, and low-cost detection of NPs in a minute sample. In the proposed system, the presence of NPs in a sample is detected by the formation of aggregates of affinity capture beads stirred by the VIF within a short time (approximately 15 min). Furthermore, the concentration of NPs can be quantified using the average area of the aggregate observed in bright-field microscopic images without using an expensive image analyzer and fluorescence labeling of targets, which are commonly used in other NP detection protocols. Finally, we demonstrate the detection of extracellular vesicles (EVs) to validate the applicability of the proposed system in diagnostic applications.
MOFganic Chemistry: Challenges and Opportunities for Metal-Organic Frameworks in Synthetic Organic Chemistry
Authors: Ahmad Bayu , Keasler Kaitlyn , Stacy Emily , Meng Sijing , Hicks Thomas , Milner Phillip
Published: March 2023

Metal-organic frameworks (MOFs) are porous, crystalline solids constructed from organic linkers and inorganic nodes that have been widely studied for applications in gas storage, chemical separations, and drug delivery. Owing to their highly modular structures and tunable pore environments, we propose that MOFs have significant untapped potential as catalysts and reagents relevant to the synthesis of next-generation therapeutics. Herein, we outline the properties of MOFs that make them promising for applications in synthetic and organic chemistry, including new reactivity and selectivity, enhanced robustness, and user-friendly preparation. In addition, we outline the challenges facing the field and propose new directions to maximize the utility of MOFs for drug synthesis. This perspective aims to bring together the organic and MOF communities to develop new heterogeneous platforms capable of achieving synthetic transformations that can-not be replicated by homogeneous systems.
SCAECH: herramienta basada en inteligencia artificial para la evaluación del aprendizaje en entornos construccionistas
Authors: Gómez Amaya Jhonny , Bautista Díaz Diego Armando , Cortés Garnica José Ferney
Published: March 2023

En este artículo se presenta el producto de una investigación cuyo objetivo fue la construcción e implementación de un sistema automático de caracterización del aprendizaje en entornos construccionistas con métodos de inteligencia artificial, analíticas del aprendizaje y homología; se llevó a cabo un diseño de investigación cuasi experimental donde los sujetos hacían parte de grupos predefinidos. La investigación es exploratoria y centrada en captar el comportamiento de los individuos en la construcción de modelos en entornos construccionistas con materiales específicos, el diseño metodológico es pre-experimental, la intervención se hizo con la totalidad de los estudiantes de grado undécimo de tres cursos diferentes de una institución de educación pública en Colombia en el marco de la pandemia SARS-COV2. Se concluyó que el sistema caracteriza las estructuras del aprendizaje de los individuos en un entorno construccionista vía homología y se puede reconstruir la dinámica de construcción de un modelo en un entorno construccionista.
International Conference on Emerging Trends in Nanomaterials & Devices (ICONMD - 2023)
Authors: N Dr. Dhachanamoorthi
Published: March 2023

Human society is facing great challenges due to a number of worldwide energy and environmental issues, such as global warming, increased energy consumption, and serious pollution. Several efforts have been made by researchers to solve these problems, including finding clean energy (solar, wind, nuclear), developing energy storage devices (batteries,super capacitors), exploring new technologies for purifying pollution, and using environmentally friendly products rather than overusing natural resources.
A review on high-performance computing
Authors: Pavani S. , Kajal Kiran Gulhare
Published: March 2023

High-Performance Computing (HPC) has evolved into a tool that is essential to every researcher's work. The vast majority of issues that arise in contemporary research may be simulated, explained, or put to the test through the use of computer simulations. Researchers often struggle with computational issues while concentrating on the issues that arise from the study. Because the majority of researchers have a minimal or nonexistent understanding of low-level computer science, it tends to view computer programs as extensions of the thoughts and bodies rather than as fully independent systems. As a result of the fact that computers do not function in the same manner as people do, the typical outcome is lowperformance computing in situations where high-performance computing would be expected.
Optimized load balancing using software-defined networking (SDN)
Authors: Genetu Y. Basena , P. V. G. D. Prasad Reddy
Published: March 2023

In a cloud environment, handling user service requests and providing the requested resources fairly is critical. Load balancing is important to distribute service requests fairly to an unloaded server and to dynamically maintain load balancing across server farms. In conventional internet protocol (IP) networks, maintaining load balancing is a stubborn and non-adaptable task due to the forwarders' lack of global topology representation. Software-Defined Networking (SDN) provides centralized decision-making for any topological changes to manage changes dynamically. To solve the above problem, we propose a new server-side load balancing strategy that provides an efficient and effective server management scheme for SDN Open Flow networks. Experiments were done on the Ryu controller and the Mininet emulator showed that the performance was better than what was already available.
An Analysis on Combined Datasets for Fake News Detection through Machine Learning Approach
Authors: Khushbu Jaiswal , Abhishek Bansal
Published: March 2023

Social media is a useful platform that facilitates the sharing of information and builds a virtual network among communities. This platform is sometimes useful to connect people and share useful information among friends and relatives. Nowadays, this platform is also used to share skills through short videos, transfer payments through the Unified Payments Interface (UPI), advertise and promote products to enhance businesses. However, social media platforms are connected through public networks, so a lot of hackers are connected to the network. The hackers want to steal personal information or manipulate the views of the users. Therefore, it applies various social engineering activities to gather personal information and spread a lot of fake news through various channels, apps, and social media pages. Therefore, it is a great challenge to detect fake news. Currently, many research communities are working to implement an algorithm that can detect fake news automatically based on an analysis of data. In an analysis of data, machine learning approaches such as regression, classification, and clustering methods may play an important role in detecting fake news from various datasets obtained from social media sites or the internet. In this paper, a deep analysis of combined datasets for fake news detection has been performed and this analysis is based on machine learning approaches. In addition, it compares the performance of machine learning models such as logistic regression, support vector machines, random forests, passive-aggressive classifiers, and decision trees.
Feature extraction in speech recognition using linear predictive coding: An overview
Authors: D. Suja Darling , Hinduja J.
Published: March 2023

Over the past years, advancements in speech processing have mostly been driven by DSP approaches. The speech interface was designed to convert speech input into a parametric form for further processing (Speech-to-Text) and the resulting text output to speech synthesis (Text-to-Speech). Feature extraction is done by changing the speech waveform into a parametric representation at a relatively low data rate so that it can be processed and analyzed later. There are numerous feature extraction techniques available. This paper presents the overview of Linear Predictive Coding (LPC).
Performance Comparison of Slim Drive with ANFIS Controller
Authors: Nagaraju M. , G. Durga Sukumar , Ravindrababu M.
Published: March 2023

Normally speed control of a Single-Sided Linear Induction Motor (SLIM) by an indirect vector control scheme is difficult because the motor's parameters are time-dependent and the performance depends on various factors such as end effect, saturation, location of primary losses, and iron losses. Traditional PI current regulators are commonly used in vector regulators, but there is a tuning problem due to the oscillation of an operating point. This problem can be overcome by substituting an adaptive neuro-fuzzy-based current controller, and this controller improves the operation of a SLIM, such as its motor speed and thrust force. In this adaptive neuro-fuzzy controller, the ID and IQ errors and the error delay are inputs, and its outputs are Vds and Vqs, respectively. It is trained based on available values. A SLIM's dynamic modelling is implemented by dividing current (I) and flux-linkages into two terms. In these two terms, one is dependent on the end effect, and the other is independent of the end effect. The function of a Voltage Source Inverter (VSI)-fed indirect vector-controlled SLIM drive is simulated in MATLAB/Simulink, and its operation under various operating conditions is studied using an adaptive neuro-fuzzy current controller. These results are compared to a traditional P-I controller. The Pulse Width Modulation (PWM) technology that is used for controlling the VSI is called Space Vector Modulation (SVM).
7 level symmetrical inverter for photovoltaic system
Authors: Shamiksha Vande , Aaditya Khare
Published: March 2023

This research presents the design, implementation, and evaluation of a seven-level symmetrical inverter for photovoltaic systems. The inverter is based on a cascaded H-bridges topology with distinct DC assets and is capable of efficiently converting DC power from a photovoltaic system to AC power with low Total Harmonic Distortion (THD). The system consists of a solar panel, charge controller, battery bank, and a multilevel inverter circuit. The inverter employs Pulse Width Modulation (PWM) techniques to control the output voltage and frequency, ensuring that it is suitable for the AC load. The performance of the inverter is analyzed using Fast Fourier Transform (FFT) to determine the THD, and the results are compared with those of other multilevel inverter topologies such as diode clamped (neutral clamped) and flying capacitors. The efficiency of the seven-level symmetrical inverter is evaluated under different load conditions and compared with other multilevel inverters to determine potential energy savings and performance improvements. The analysis provides insights into the advantages and limitations of the seven-level symmetrical inverter for photovoltaic systems, highlighting the importance of distinct DC assets in achieving high efficiency and low THD. The results of this research can be useful for designing and implementing high-performance and cost-effective photovoltaic systems.
Improving the performance and functionality of AI and machine learning in electronic devices and systems
Authors: Sheryl Radley , K. P. Ajitha Gladis
Published: March 2023

The goal of this research is to enhance the performance and functionality of Artificial Intelligence (AI) and Machine Learning (ML) in electronic devices and systems. Electronic devices and systems have become an integral part of our lives, with an increasing amount of data being generated and processed. The integration of AI and ML technologies in these devices and systems can significantly improve their performance, efficiency, and user experience. The research will focus on developing new algorithms, improving existing ones, or finding new ways to integrate AI and ML into electronic devices and systems. Areas of focus may include image and speech recognition, natural language processing, and decision making. In conclusion, this research aims to improve the performance and functionality of AI and ML in electronic devices and systems by developing new algorithms, improving existing ones, and finding new ways to integrate AI and ML into these devices and systems. The ultimate goal is to make electronic devices and systems more intelligent, efficient, and useful for users.
Willingness to Communicate in English, Ambiguity
Tolerance and Parental Encouragement Level:
A Case of Turkish EFL Learners
Authors: Merve Ulukaya , Fadime Yalcin arslan
Published: March 2023

This study aims to investigate the Turkish EFL learners' willingness to communicate, tolerance of ambiguity, and parental encouragement levels. Moreover, the study also explored the influencing factors on the learners' willingness to communicate and tolerance to ambiguity. A mixed-methods research design was applied in the study with the participation of 151 preparatory school students. The results pointed out that those Turkish EFL learners possessed a willingness to communicate, a tolerance of ambiguity, and high parental encouragement levels.
ERT-Based EFL Instruction and Assessment: Student
Reflections on L2 Skill Development
Authors: Didem Erdel
Published: March 2023

This paper presents a reflective account of tertiary level Turkish learners of English language about their emergency remote learning experiences amid Covid-19 pandemic. The participants of this case study were the preparatory year students of the English Language and Literature undergraduate programme at Iğdır University in two successive years, covering the second half of the 2019–2020 spring semester and the entire 2020–2021 academic year. In an online survey form of open-ended questions, the students were asked to reflect on their experiences during the instruction and assessment processes of pandemic-driven Emergency Remote Teaching (ERT) with a specific focus on the development of foreign language skills. Student answers were coded through thematic analysis, and the main themes and categories were determined. The findings indicated both the affordances and shortcomings of ERT. Reflecting on their performance in the instruction and assessment practices, the students reported improvement in all language skill areas to varying extents, most effectively in writing, along with challenges, especially in the development of oral skills (speaking and listening) and in the assessment of productive skills (writing and speaking). The reasons are discussed in the light of available literature, and implications for future experiences are provided.