bluuebunny/crossref_metadata_2025 huggingface dataset:
POTENSI PENGEMBANGAN USAHA AKOMODASI DAN KULINER DI DESTINASI WISATA HUTAN PINUS DULAMAYO KABUPATEN GORONTALO
Authors: Kadir Poppy Arnold
Published: July 2022

Desa dulamayo memiliki keunikan sendiri dengan memiliki destinasi wisata hutan pinus, perkebunan, pertanian, potensi alam gunung, udara yang sejuk dan dingin, memiliki aksesibilitas yang cukup baik. Jarak tempuh dari kota juga tidak begitu jauh, hanya saja lebarnya jalan masih cukup untuk 1 kendaraan saja ketika melintah ke arah hutan pinus dulamayo. Penulis tertarik melakukan penelitian terhadap potensi pengelolaan akomodasi dan wisata kuliner sebagai fasilitas pendukung dari destinasi wisata hutan pinus dulamayo, Fasilitas pendukung lain seperti akomodasi di destinasi wisata ini belum terlihat. Ada beberapa akomodasi yang dibangun oleh pemerintah namun nampaknya belum dikelola dengan baik dan belum dilakukan pemasaran yang tidak terlalu dikenal oleh masyarakat. Ada beberapa villa yang didirikan oleh perorangan yang dipergunakan oleh pemiliknya sendiri dan tidak untuk disewakan bagi wisatawan yang datang berkunjung, peluang untuk usaha jasa akomodasi ini sangat potensial bagi pengusaha maupun masyarakat dulamayo dalam meningkatkan perekonomian di daerah ini. Dengan adanya potensi usaha akomodasi dapat memberikan masyarakat dalam usaha meningkatkan pendapatan dapat dimaksimalkan. Penelitian ini bertujuan untuk (1) Mengidentifikasi potensi usaha akomodasi di destinasi wisata Hutan Pinus Dulamayo (2) Mengidentifikasi potensi usaha kuliner di destinasi wisata Hutan Pinus Dulamayo (3) Untuk mengidentifikasi peran pemerintah dalam usaha akomodasi dan usaha kuliner bagi  masyarakat di desa Dulamayo dalam mendukung fasilitas pendukung wisata Hutan Pinus Dulamayo. Metode Penelitian ini menggunakan penelitian kualitatif dengan metode diskriptif interpretatif. Teknik pengumpulan data melalui beberapa instrument yang digunakan dalam penelitian ini disesuaikan dengan kebutuhan data di lapangan, yaitu data primer dan data sekunder. Teknik pengambilan data melalui instrument yang digunakan adalah wawancara mendalam, pengamatan, dokumentasi. Hasil penelitian ini bahwa Desa dulamayo merupakan desa yang memiliki keindahan alam yang sangat sejuk, indah, pemandangan alam perkebunan dan memiliki keindahan kabut yang sangat dingin. Desa dulamayo memiliki potensi usaha akomodasi baik homestay, villa maupun cottage baik dikelola oleh kelompok masyarakat maupun per orangan. Hal ini dapat menambah income/pendapatan dari masyarakat yang sebagian merupakan petani perkebunan.
Edukasi Tentang Pengaruh Bermain Game Online Terhadap Kesehatan Mata Pada Siswa/i SMP Muhammadiyah 61 Tanjung Selamat
Authors: Anggraini Windi Ayu , Triyoolanda Anggun , Fadhillah Elza Racma , Amri Syaidil
Published: July 2022

Salah satu perkembangan teknologi saat ini adalah gadget, tidak hanya di manfaatkan oleh orang dewasa saja tetapi juga digunakan oleh anak-anak. Hal inilah yang memicu kesehatan mata seseorang menjadi menurun akibat timbulnya keluhan pada kesehatan mata. Penelitian ini bertujuan untuk mengetahui hubungan dari pengaruh bermain game online terhadap kesehatan mata oleh Siswa/I SMP Muhammadiyah 61 Tanjung Selamat, Medan 2022. sampel yang digunakan berjumlah 30 Siswa/I. Penelitian ini menggunakan metode penelitian deskriptif kuantitatif. Teknik pengambilan data menggunakan kuesioner (pre-test dan post-test). Hasil penelitian ini menunjukkan Persentase sikap adanya faktor penyebab kecanduan bermain game online yaitu, bermain game online dengan waktu yang cukup lama yaitu 56%. Sedangkan pengaruh sebelum penyuluhan (pre-test) 56% dan sesudah penyuluhan (post-test) 71% tentang pengetahuan kesehatan mata dan pengaruh bermain game online pada Siswa/I SMP Muhammadiyah 61 Tanjung Selamat. Kesimpulannya bahwa penyuluhan yang dilakukan peneliti berdampak baik kepada responden tentang pengetahuan menjaga kesehatan mata dari pengaruh bermain game online
Hubungan Paritas Dan Anemia Dengan Kejadian Ketuban Pecah Dini (KPD) Pada Ibu Bersalin Di RSUD Panembahan Senopati Bantul
Authors: Natsir Faridha
Published: July 2022

Ketuban pecah dini atau premature rufture of membran (PROM) pecahnya ketuban sebelum adanya tanda persalinan, pecahnya ketuban sebelum adanya inpartu dengan pembukaan pada primipara kurang dari 3 cm dan pada multipara kurang dari 5 cm. Penelitian ini bertujuan untuk mengetahui hubungan paritas dan anemia dengan kejadian ketuban pecah dini pada ibu bersalin di RSUD Panembahan Senopati Bantul. Desain penelitian yang digunakan adalah survey analitik dengan pendekatan Retrospektif dengan metode case control, pengumpulan data dimulai dari efek atau akibat yang mungkin terjadi kemudian diketahui penyebabnya atau variabel dan membandingkan kelompok kasus dan control secara yang diambil secara random sampling. Analisis bivariate yaitu chi square. Hasil analisis didapatkan yang mengalami KPD sebanyak 60 orang (60.0%) sedangkan paritas berisiko 24 orang (40.0%), dan anemia berisiko 26 orang (43.3%), hubungan kejadian anemia dan paritas dengan ketuban pecah dini, hasil uji statistic chi square dalam penelitian ini di peroleh nilai p-value sebesar 0.011 dan 0.001 ( p-value < 0.05) OR 2.765 dan 0.286. Sehingga terdapat hubungan yang signifikan antara paritas dan anemia dengan ketuban pecah dini (KPD) di RSUD Panembahan Senopati Bantul. Diharapkan bagi ibu hamil disarankan untuk secara teratur melakukan pemeriksaan ANC selama kehamilan dan meminum tablet tambah darah secara teratur untuk mencegah komplikasi kehamilan akibat dari anemia yang salah satunya adalah ketuban pecah dini, dan disarankan menikah pada usia reproduktif (20-35 tahun).
The Effect of Extraction Method on Physicochemical Properties of Mucilage Extracted from Yellow and Brown Flaxseeds
Authors: Emadzadeh Mohammad Karim , Aarabi Aazam , Aarabi Najvani Farinaz , Chiani Mohsen , Mehrabi Mohammad Reza
Published: July 2022

Background: Mucilage is an important polysaccharide with a broad range of physicochemical properties and antioxidant activity that is widely used for various applications in the medicine and food industries. Objectives: This study aims to evaluate the effect of the extraction method on the physicochemical properties of mucilage extracted from yellow and brown flaxseeds. Methods: Mucilage was extracted by different methods: heating, sonotrode, and bath sonication. The extracted mucilage was evaluated for mucilage extraction efficiency (MEE%), solubility, water-binding capacity (WBC%), antioxidant activity, and foam stability. Results: In all extraction methods, the MEE% of yellow flaxseed was significantly higher than that of brown flaxseed. The antioxidant activity of mucilage extracted from brown and yellow flaxseed was 43.65 ± 1.86% and 12.65 ± 1.23%, respectively (P < 0.001). In all extraction methods, the solubility of mucilage was increased by enhancing the temperature. Significantly, higher solubility (P < 0.01) and stronger foam stability (P < 0.001) was obtained for mucilage extracted from brown flaxseed. The highest foam stability was obtained by the sonotrode method. Mucilage extracted by sonotrode and bath sonication methods showed significantly stronger (P < 0.01) water-binding capacity (WBC%) compared to that of the heating method. Conclusions: Our results showed that the ultrasonic methods, especially sonotrode, due to their positive effects on physicochemical properties of mucilage, could be more appropriate methods for extraction of mucilage.
Audit credit guarantee risk identification method based on LM algorithm
Authors: Wu Hongwei
Published: July 2022

Aiming at the problem of low recognition accuracy caused by the high probability of training model falling into local extreme value in audit credit guarantee risk identification, an audit credit guarantees risk identification method based on LM algorithm is proposed. The risk identification index system is established and its weight is assigned to provide the index basis of the input layer for the identification model. The BP neural network is improved by LM algorithm to reduce the probability of falling into local extreme value, and the audit credit guarantee risk identification model is established by using the improved network. Using the same audit credit guarantee risk sample to test the identification method, the identification accuracy of this method is 95.15%, which is 4.86% and 4.61% higher than that based on BP neural network and LVQ network respectively. Therefore, the identification results of the design method are more feasible.
Protein carbonyl products, malondialdehyde, glutathione and vitamins C/E of breast cancer patients subjected to chemotherapy
Authors: Paraboni Marisa Lucia Romani , Kalinoski Jaíne , Braciak Bianca Genovefa , Wilk Adriana Elisa , Santos Laura Smolski dos , Schmitt Elizandra Gomes , Manfredini Vanusa , Gonçalves Itamar Luís
Published: July 2022

Introduction: Various endogenous and exogenous processes contribute to the production of oxidative stress, of which anticancer drugs may be one. This study aimed at evaluating the effect of breast cancer chemotherapy on oxidative stress.

Material and Methods: Oxidative markers and antioxidant defense molecules were monitored in 59 women undergoing a year of treatment for breast cancer.

Results: During the treatment, the levels of vitamin C and glutathione decreased, while both malondialdehyde and protein carbonyl products increased. Vitamin E levels were affected to a smaller extent. The patients were grouped by principal component analysis using their oxidative stress profiles according to the time of the chemotherapy and 95.9% of the total variance was explained by the first three principal components.

Conclusion: The oxidative stress profile of the study population was modified extensively during one year of exposure to antineoplastic drugs.
The influence of the digital environment on the spread of cyber terrorism
Authors: Baltezarević Ivana , Tančić Dragan
Published: July 2022

The development of information and communication technologies has led to the accelerated development of society, but with the facilitation of communication, business and entertainment, there have been a number of problems regarding the security of users in cyberspace, but also the states themselves. Cybercrime has become a frequent occurrence that causes material and non-material damage to social media users who are often insufficiently informed about the methods of such cybercriminals. On the other hand, the virtual environment has enabled cyber terrorists to transfer their motives and activities from physical to digital space. Unfortunately, the consequences of such cyber-terrorist activities are no less devastating than in traditional terrorist activities. Hidden in the digital space, terrorists propagate their political or religious ideology, recruit new members and organize attacks, using, often with great success, identical terrorist strategies that were used before cyberspace. The lack of international cooperation, harmonization of legislation, but also the neglect of security systems of new devices by experts in this field, which function with the help of information and communication technologies, will create even more fertile ground for the continuation and development of such criminal activities. Unfortunately, not all countries are motivated or see their interests in terms of cooperation in this area, but the destructive potential of cybercrime and cyber terrorism at the global level must be a strong enough factor to make full international cooperation in this area imperative.
Simulation of ion temperature gradient mode in Chinese First Quasi-axisymmetric Stellarator
Authors: Huang Jie , Li Mo-Shan , Qin Cheng , Wang Xian-Qu ,   School of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610031, China
Published: July 2022

The Chinese First Quasi-axisymmetric Stellarator (CFQS) is now the only quasi-axisymmetric stellarator under construction in the world. In this work, ion temperature gradient (ITG) mode in CFQS is studied by using gyrokinetic Vlasov code GKV. The basic characteristics of the eletrtostatic ITG are separately given under the adiabatic condition and the non-adiabatic condition. There is a critical temperature gradient for ITG. The growth rate of ITG is proportional to the temperature gradient. Furthermore, the growth rate depends on not only the absolute value of density gradient, but also the plus or minus sign of the density gradient. The negative density gradient can strongly suppress the ITG. The kinetic electron can destabilize the ITG and the electron temperature gradient can also destabilize the ITG. For electromagnetic condition, the ITG modes can be suppressed by the finite plasma beta, and then a transition from ITG to Alfvenic ion temperature gradient mode/kinetic ballooning mode (AITG/KBM) comes into being. The maximum growth rate of KBM is linearly proportional to density gradient and temperature gradient when both gradients are large.
Interplay of surface interaction and magnetic torque in single-cell motion of magnetotactic bacteria in microfluidic confinement
Authors: Codutti Agnese , Charsooghi Mohammad A , Cerdá-Doñate Elisa , Taïeb Hubert M , Robinson Tom , Faivre Damien , Klumpp Stefan
Published: July 2022

Swimming microorganisms often experience complex environments in their natural habitat. The same is true for microswimmers in envisioned biomedical applications. The simple aqueous conditions typically studied in the lab differ strongly from those found in these environments and often exclude the effects of small volume confinement or the influence that external fields have on their motion. In this work, we investigate magnetically steerable microswimmers, specifically magnetotactic bacteria, in strong spatial confinement and under the influence of an external magnetic field. We trap single cells in micrometer-sized microfluidic chambers and track and analyze their motion, which shows a variety of different trajectories, depending on the chamber size and the strength of the magnetic field. Combining these experimental observations with simulations using a variant of an active Brownian particle model, we explain the variety of trajectories by the interplay between the wall interactions and the magnetic torque. We also analyze the pronounced cell-to-cell heterogeneity, which makes single-cell tracking essential for an understanding of the motility patterns. In this way, our work establishes a basis for the analysis and prediction of microswimmer motility in more complex environments.
Both prey and predator features predict the individual predation risk and survival of schooling prey
Authors: Jolles Jolle Wolter , Sosna Matthew MG , Mazué Geoffrey PF , Twomey Colin R , Bak-Coleman Joseph , Rubenstein Daniel I , Couzin Iain D
Published: July 2022

Predation is one of the main evolutionary drivers of social grouping. While it is well appreciated that predation risk is likely not shared equally among individuals within groups, its detailed quantification has remained difficult due to the speed of attacks and the highly dynamic nature of collective prey response. Here, using high-resolution tracking of solitary predators (Northern pike) hunting schooling fish (golden shiners), we not only provide insights into predator decision-making, but show which key spatial and kinematic features of predator and prey predict the risk of individuals to be targeted and to survive attacks. We found that pike tended to stealthily approach the largest groups, and were often already inside the school when launching their attack, making prey in this frontal ‘strike zone’ the most vulnerable to be targeted. From the prey’s perspective, those fish in central locations, but relatively far from, and less aligned with, neighbours, were most likely to be targeted. While the majority of attacks were successful (70%), targeted individuals that did manage to avoid being captured exhibited a higher maximum acceleration response just before the attack and were further away from the pike‘s head. Our results highlight the crucial interplay between predators’ attack strategy and response of prey underlying the predation risk within mobile animal groups.
Recruitment of clathrin to intracellular membranes is sufficient for vesicle formation
Authors: Küey Cansu , Sittewelle Méghane , Larocque Gabrielle , Hernández-González Miguel , Royle Stephen J
Published: July 2022

The formation of a clathrin-coated vesicle (CCV) is a major membrane remodeling process that is crucial for membrane traffic in cells. Besides clathrin, these vesicles contain at least 100 different proteins although it is unclear how many are essential for the formation of the vesicle. Here, we show that intracellular clathrin-coated formation can be induced in living cells using minimal machinery and that it can be achieved on various membranes, including the mitochondrial outer membrane. Chemical heterodimerization was used to inducibly attach a clathrin-binding fragment ‘hook’ to an ‘anchor’ protein targeted to a specific membrane. Endogenous clathrin assembled to form coated pits on the mitochondria, termed MitoPits, within seconds of induction. MitoPits are double-membraned invaginations that form preferentially on high curvature regions of the mitochondrion. Upon induction, all stages of CCV formation – initiation, invagination, and even fission – were faithfully reconstituted. We found no evidence for the functional involvement of accessory proteins in this process. In addition, fission of MitoPit-derived vesicles was independent of known scission factors including dynamins and dynamin-related protein 1 (Drp1), suggesting that the clathrin cage generates sufficient force to bud intracellular vesicles. Our results suggest that, following its recruitment, clathrin is sufficient for intracellular CCV formation.
RuSentiTweet: a sentiment analysis dataset of general domain tweets in Russian
Authors: Smetanin Sergey
Published: July 2022

The Russian language is still not as well-resourced as English, especially in the field of sentiment analysis of Twitter content. Though several sentiment analysis datasets of tweets in Russia exist, they all are either automatically annotated or manually annotated by one annotator. Thus, there is no inter-annotator agreement, or annotation may be focused on a specific domain. In this article, we present RuSentiTweet, a new sentiment analysis dataset of general domain tweets in Russian. RuSentiTweet is currently the largest in its class for Russian, with 13,392 tweets manually annotated with moderate inter-rater agreement into five classes: Positive, Neutral, Negative, Speech Act, and Skip. As a source of data, we used Twitter Stream Grab, a historical collection of tweets obtained from the general Twitter API stream, which provides a 1% sample of the public tweets. Additionally, we released a RuBERT-based sentiment classification model that achieved F1 = 0.6594 on the test subset.
Del vuelo modernista al aterrizaje: el cosmopolitismo del artista pobre en Rubén Darío y Juan Emar
Authors:   Universidad de Concepción, Parra Triana Clara
Published: July 2022

La presente reflexión se ocupa de los relatos “El pájaro azul” (1886) de Rubén Darío y “El pájaro verde” (1937) de Juan Emar, leídos desde las propuestas teóricas de Silviano Santiago (2002) y Antonio Cornejo Polar (1996), dedicadas al “cosmopolitismo del pobre” y a la consolidación de un “discurso y sujeto migrantes”, respectivamente. Se aprecia en las figuraciones del artista pobre, tanto del relato modernista como del vanguardista, la relación con los desplazamientos y conflictos protagonizados por las aves, cuya función pasa de la calidad metafórica al posicionamiento crítico frente a la compleja demanda del capital y de la tradición cultural heredada mediante el humorismo vanguardista afincado en el “inconsciente subalterno” (González García 2019).
Comparison of Joint Position Sense, Serve Speed and Upper Extremity Performances of Adult and Adolescent Tennis Athletes
Authors: HAKSEVER Bünyamin , SOYLU Çağlar , ER Abdullah Samet
Published: July 2022

Tenis hız, esneklik, çeviklik, dinamik denge, patlayıcı güç, anaerobik ve aerobik kondisyon ve hızlı tepki verme ve tahmin etme yeteneği gerektiren bir spordur. Literatür incelendiğinde elit tenis sporcularının farklı yaş gruplarına
göre fiziksel uygunluk, servis hızı, eklem hareket açıklığı ve kuvvet ile ilişkisi inceleyen çalışmalar görülürken yetişkin ve adölesan tenis sporcularının eklem pozisyon hissi, servis atış hızı ve üst ekstremite performanslarının
karşılaştırıldığı bir çalışmaya rastlanmamıştır. Bu çalışma, yetişkin ve adölesan elit tenis sporcularının eklem pozisyon hissi, servis atış hızı ve üst ekstremite stabilite performanslarını karşılaştırmak amacı ile planlandı.
Çalışmaya yaşları ortalama 14.19±1.59 olan 18 yaş altı 21 ve 22.77±5.81 olan 18 yaş ve üzeri 30 elit tenis sporcusu olmak üzere toplam 51 erkek tenis sporcusu dahil edildi. Sporcuların servis atış hızları radar ile, üst ekstremite
stabilite performansları kapalı kinetik zincir üst ekstremite stabilite testiyle (ÜKKZT) ve omuz eklemi pozisyon hisleri ise lazer imleci ile aktif açı tekrarlama testi ile değerlendirildi. Servis atış hızı, ÜKKZT ortalamaları
ve sağ taraf Lazer imleciyle aktif açı tekrarlama testi hata açısı değeri 18 ve üzeri yaşa sahip olan grupta daha yüksekti (p<0.05). Sol taraf lazer imleciyle aktif açı tekrarlama testi hata açısı değerinin ise yaş grupları
arasındaki farkı istatistiksel olarak anlamlı değildi (p>0.05). Bu çalışma yetişkin ve adölesan tenis sporcularında servis atış hızı, üst ekstremite stabilitesini ve omuz pozisyon hissini karşılaştıran ilk çalışma niteliğindedir.
Bu sebeple çalışma sonuçlarının bilimsel literatüre katkı sağladığını ve ileride yapılacak araştırmalara ışık tutacağını düşünmekteyiz. Aynı zamanda tenis sporcularında performansın geliştirilmesinde, antrenman programlarının planlanmasında
ve performans değerlendirilmesinde yaş faktörü göz önünde bulundurulmalıdır.
Examining The Relationship Between Clinical Leadership, Employee Productivity and Job Stress In Healthcare
Authors: BAKKAL ÖZTOKATLI Elif , KÖSE Timur , GÜRSOY Tuğrul
Published: July 2022

Bu çalışmanın amacı, sağlık kurumlarında faaliyet gösteren sağlık hizmeti sağlayıcılarının algılarına göre klinik liderlik, çalışan verimliliği ve iş stresi düzeyleri arasındaki ilişkiyi ortaya koymak, klinik liderliğin çalışan verimliliği
ve iş stresi üzerindeki etkisini saptamak ve bununla birlikte cinsiyet, meslek türü değişkenlerine göre klinik liderlik, çalışan verimliliği ve iş stresi düzeylerinde anlamlı bir farklılaşma olup olmadığını bulmaktır. İstanbul
ilinde bir üniversite hastanesinde yapılan bu araştırma tanımlayıcı tipte bir araştırmadır. Bu çalışmada veri toplama aracı olarak, çalışmanın amacına yönelik ‘Kişisel Bilgi Formu’, ‘Klinik Liderlik Ölçeği’, ‘Çalışan Verimliliği
Ölçeği’ ve ‘İş Stresi Ölçeği’ kullanılmıştır. Bu araştırmanın evrenini İstanbul ilinde bir vakıf üniversite hastanesinde görev yapan farklı unvanlara sahip yaklaşık 435 sağlık hizmeti sağlayıcısı oluşturmaktadır. Araştırmanın örneklemini
ise 205 kurum personeli oluşturmaktadır. Bu çalışmadan ortaya çıkan veriler SPSS 24.0 yazılımı ile analiz edilmiş ve bu analizler neticesinde, klinik liderlik ve çalışan verimliliği arasında pozitif bir ilişki, klinik liderlik
ve iş stresi arasında negatif bir ilişki, iş stresi ve çalışan verimliliği arasında da negatif bir ilişki ortaya konmuş, bununla birlikte klinik liderliğin çalışan verimliliği ve iş stresi üzerinde etkisinin olduğu bulunmuştur.
Cinsiyet ve meslek türü değişkenlerine göre klinik liderlik, çalışan verimliliği ve iş stresi algılarının farklılaşma eğilimi gösterip göstermediği değerlendirildiğinde, istatistiksel olarak anlamlı bir şekilde farklılaşma bulunamamıştır.
A Study on the Concept of Victim Blaming in Femicide: The Case of Şebnem Şirin's Murder
Authors: ACAR Gülten , KAVURAN Tamer
Published: July 2022

Günümüzde internet kullanımının yaygınlaşmasıyla birlikte sosyal medya, insanların yaşamlarının ayrılmaz bir parçası haline gelmiştir. Çeşitli türleri bulunan sosyal mecralardan biri de katılımcı sözlüklerdir. Katılımcı sözlüklere
üye olan kişiler, gündem olmasını istediği konularla ilgili başlık açma, açılmış olan konu başlıklarına yorum yazma ve bu yolla duygu ve düşüncelerini başkalarına aktarma imkanına sahiptir. Dünyanın ve Türkiye’nin önde gelen sorunlarından
biri olan kadın cinayetleri de sosyal mecralarda ve katılımcı sözlüklerde sıklıkla tartışılan konular arasında yer almakta, bu yönüyle de insanların dikkatini çekmektedir. Kadın cinayetleri sonrasında kurbana yönelik üzüntü ve
faile yönelik nefret söylemleri sözlük ortamlarında sıklıkla yer bulan ifadeler olsa da, bazı durumlarda kurbana yönelik olumsuz yorumlara da rastlanmaktadır. Kurbana yönelik takınılan olumsuz tutum ve davranışlar victim blaming
olarak adlandırılmakta ve kişilerin mağdur ya da kurban olmalarından dolayı suçlanmaları bu kavram ile birlikte anılmaktadır. Bu çalışma 28 Ekim 2021 tarihinde Denizli’de işlenen ve ülke gündemini meşgul eden Şebnem Şirin cinayeti
sonrasında, Türkiye’nin en çok üyesi bulunan katılımcı sözlüklerinin başında gelen Ekşi Sözlük’te kurbana ve faile yönelik yapılan yorumların incelenmesi yoluyla, kurbanı suçlama ve faili aklama ya da faili daha az suçlu gösterme
davranışının var olup olmadığını ortaya koymayı amaçlamaktadır. Çalışmada yöntem olarak, durum çalışması deseni kullanılmıştır. Çalışmanın örneklemi, kritik durum örneklemesi yöntemiyle seçilmiş, Ekşi Sözlük’te Şebnem Şirin başlığı
altında yapılan yorumlar çalışmanın örneklemini oluşturmuştur. Çalışmada veri toplama aracı olarak, doküman incelemesinden yararlanılmış, elde edilen veriler ise betimsel analiz yöntemi kullanılarak çözümlenmiştir. Araştırma sonucunda
elde edilen bulgulara göre kurban Şebnem Şirin’e yönelik kurbanı suçlama tutumunun var olduğu sonucuna ulaşılmıştır. Kurbanı suçlama tutumu, öldürülen kadının yanlış erkek arkadaş seçimine bir başka deyişle yanlış tercihine dayandırılmıştır.
The Other in the Modern Mentality, Online Hate Speech, and Islamophobia: A Review on Instagram
Authors: KARAOĞLU Gülhanım
Published: July 2022

Nefret söyleminin üretiminde, egemen söyleme dönüşmesinde ve meşrulaştırılmasında kitle iletişim araçları birincil rol oynamaktadır. Özellikle sosyal medya platformları ve çevrimiçi ortamlar, nefret söyleminin yaygınlaştığı alanlardır.
Yeni iletişim teknolojilerinin yayılım hızı ve gücü, çevrimiçi nefret söylemlerinin de artmasına neden olmuştur. 11 Eylül olaylarından sonra batı toplumlarında siyasi-askeri kararların ve sosyal ilişkilerin temel motivasyonlarından
biri olan İslamofobi, geleneksel medyada olduğu gibi çevrimiçi ortamlarda da din kökenli ve İslam’a karşı nefret içerikli söylemlerin yükselişe geçmesine ve güçlenerek gündelik söyleme dönüşmesine yol açmıştır. Ancak İslam’a yönelik
bu çatışmacı ve saldırgan dil, Müslümanların sadece dini bakımdan ötekileştirilmesini değil, aynı zamanda inşa edilmiş hiyerarşik bir konumlamayı da belirtmektedir. İslam, dini, kültürel, etnik, siyasal anlamda batının ötekisi
olarak değerlendirilmektedir. Çalışmanın amacı, öteki olarak konumlandırılan İslam’ın ve İslam’la ilişkilendirilen olguların, batı zihniyetindeki hiyerarşik pozisyonunu açımlamak; yeni iletişim teknolojileri ve çevrimiçi nefret
söylemi bağlamında nefret söylemi kabul edilen gönderilerin batı metafiziği ve modern zihniyet ile ilişkisini tartışmaktır. Bu amaçla popüler sosyal medya platformlarından biri olan Instagram’da #stopislam ve #stopislamineuropa
hashtagleriyle paylaşılan içerikler incelenmiştir. Yapısökümsel okumaya tabi tutulan bu paylaşımlarda İslam’a yönelik nefret içerikli söylemlerin bağlamı ele alınmış, batı üstünlükçü ayrımlarla ilişkisi irdelenmiştir. İslam inancını
hedef alan söylemsel kalıpların, batı zihniyetinde hiyerarşik olarak altta konumlandırılan tüm anlatılarla iç içe geçtiği sonucuna varılmıştır.
Effect of Phosphorus and Boron Levels on Growth and Yield of Mustard (Brassica juncea L.)
Authors: Kumar Polavena Tharun , Umesha C.
Published: July 2022

A field experiment was conducted during Rabi 2021 at Crop Research Farm, Department of Agronomy, SHUATS, Prayagraj (U.P), India. This study aims to determine the effect of phosphorus and boron levels on growth and yield of mustard (Brassica juncea L.). The soil of experimental plot was sandy loam in texture, nearly neutral in soil reaction (pH 7.2). The experiment was laid out in a Randomized Block Design consisting of nine treatments with three replications. The treatments comprising of different levels of phosphorus and boron whose effect was observed in mustard. The results obtained that the application of Phosphorus @ 60 kg/ha along with Boron @ 2.0 kg/ha was recorded significantly higher Plant height (187.59 cm), Plant dry weight (37.92 g/plant), Number of Siliquae/plant (319.80), Number of Seeds/siliquae (14.60), Test weight (5.19 g), Seed yield (2.61 t/ha) and Stover yield (4.55 t/ha). Therefore, treatment with the application of Phosphorus @ 60 kg/ha along with Boron @ 2.0 kg/ha was more productive and cost effective.
Studies on Correlation and Path Coefficient Analysis of Yield and Yield Attributing Characters in Rice Landraces (Oryza sativa L.)
Authors: Manasa S. , Reddy S. Madhusudhan , Murthy K. Gopala Krishna , Meena A.
Published: July 2022

In order to characterise the correlation and path analysis for yield and yield attributing traits for 66 genotypes including 4 checks in Augmented Block Design replicated thrice during Kharif, 2021, the present investigation was conducted at the Agricultural College, Aswaraopet, Bhadradri, Telangana. The most positive and significant correlation between important traits and grain yield per plant was found to be between the number of panicles per plant and the number of filled grains per panicle indicating yield can be improved through improvement of these traits. The features number of panicles per plant and number of filled grains per panicle had reported the strongest positive direct effect on grain yield per plant, and may be considered as excellent selection criteria for yield improvement, according to path coefficient analysis.
Face Mask - Benefits and Risks during the COVID 19 among Outpatients
Authors: Sudev S. Sri , Priya A. Jothi , Devi R. Gayatri
Published: July 2022

The public is quickly becoming more aware of the fact that wearing a face mask prevents the spread of the SARS-CoV-2 virus. The use of a mask alone is insufficient to provide an effective level of protection against COVID-19; masks should be used as part of a complete strategy of actions to suppress transmission and save lives. Keep yourself safe if COVID-19 is spreading in your neighbourhood by following a few easy safety steps, including as keeping a physical distance, donning a mask, keeping rooms well-ventilated, avoiding crowds, washing your hands, and coughing into a bent elbow or tissue. The research around the general public's usage of masks to prevent COVID-19 transmission is developing quickly. In the course of this narrative review, we create an analytical framework to understand the use of masks, synthesising the pertinent literature to provide information on a number of topics, including population impact, transmission characteristics, source control, wearer protection, sociological considerations, and implementation considerations. COVID-19 is known to spread mostly through respiratory particles, and it can spread from presymptomatic, paucisymptomatic, and asymptomatic people. Limiting connections with sick individuals by physical separation and other precautions, as well as lowering the risk of transmission per encounter, are necessary for preventing the spread of disease. The preponderance of evidence indicates that mask wearing reduces transmissibility per contact by reducing transmission of infected respiratory particles in both laboratory and clinical contexts. When compliance is high, wearing a mask in public helps to stop the infection from spreading. Given these shortages of medical masks, we recommend the adoption of public cloth mask wearing, as an efficient kind of source control, in conjunction with existing hygiene, distancing, and obtained in-tuned with tracing strategies. The aim of this paper is to analyze and critically discuss the regulations, which require protective masks in public to conform to similar regulations already in place in other countries.Self structured questionnaire was prepared and circulated among a sample size of 100 adults and the result was analysed using software IBM SPSS.
Prussian Blue Nanozyme Normalizes Microenvironment to Delay Osteoporosis
Authors: Ye Chenyi , Zhang Wei , Zhao Yongzheng , Zhang Kai , Hou Weiduo , Chen Mo , Lu Jinwei , Wu Jianrong , He Rongxin , Gao Wei , Zheng Yuanyi , Cai Xiaojun
Published: July 2022

Osteoporosis (OP) is the most common orthopedic disease in the elderly and the main cause of age‐related mortality and disability. However, no satisfactory intervention is currently available in clinical practice. Thus, an effective therapy to prevent or delay the development of OP should be devised. Osteoclastogenesis overactivation and excessive bone resorption are the main characteristics of OP. Accordingly, a paradigm for nanozyme‐mediated normalization of the disease microenvironment to regulate osteoclast differentiation and delay OP is proposed. Hollow Prussian blue nanozymes (HPBZs) are prepared via template‐free hydrothermal synthesis and selected as representative nanozymes. The intrinsic osteoclast activity‐remodeling bioactivities of the HPBZs are explored in vitro and in vivo, focusing on their impact on osteogenesis and specific molecular mechanisms using an OP murine model. The HPBZs significantly normalize the OP microenvironment, thereby inhibiting osteoclast formation and osteoclast resorption, possibly owing to the suppression of intracellular reactive oxygen species generation, the mitogen‐activated protein kinase, and nuclear factor κB signaling pathways. Consistently, in an ovariectomy‐induced OP murine model, HPBZ treatment significantly attenuates osteoporotic bone loss in vivo. The findings confirm the HPBZ‐mediated normalization of the disease microenvironment for the treatment of OP and suggest its application to other inflammation‐related diseases.
Efficient Ideal‐Bandgap Tin–Lead Alloyed Inorganic Perovskite Solar Cells Enabled by Structural Dimension Engineering
Authors: Huang Siyuan , Kuan Chun‐Hsiao , Tian Yue , Chen Xu , Chen Zeng , Hou Cheng‐Hung , Xu Xuehui , Tang Xiangyang , Shyue Jing‐Jong , Zhu Haiming , Jiang Tingming , Yang Yang (Michael)
Published: July 2022

Inorganic tin–lead alloyed perovskite solar cells with optimal bandgap have gained increasing attention because of their higher theoretical efficiency limit, inherently robust stability, and potentials in all‐inorganic perovskite tandems. However, their efficiency has far lagged from their Pb‐based counterparts owing to some intractable problems such as poor crystallization and facile Sn2+oxidation. Here, a small amount of 2D perovskite PEAPb0.7Sn0.3I4is utilized to regulate the crystallization process of 3D CsPb0.7Sn0.3I3based on the temperature‐gradient annealing method. The X‐ray diffraction results show that a stable intermediate phase composed of 3D perovskite seeds and 2D phases is formed under a lower annealing temperature of 50 °C, and the pre‐crystallized 3D perovskites can promote the subsequent crystallization upon 80 °C annealing to attain high quality film. It is interesting that the 2D perovskite phase is ultimately mainly located between the 3D perovskite phase and hole transport layer as revealed by the time of flight‐secondary ion mass spectrometry. The resulting perovskite exhibits a lower extent of non‐radiative recombination and better stability. Consequently, the device achieves a champion efficiency of 14.6% setting a new record for inorganic tin‐lead perovskite solar cells (PSCs). This work sheds more light on the future progress of inorganic tin‐lead PSC.
Influence of external N‐containing donors on the neodymium‐based catalytic system for 1,3‐butadiene polymerization
Authors: Li Qiongrong , Wang Feng , Dong Jing , Zhang Huaqiang , Zhang Chunyu , Liu Heng , Zhang Xuequan
Published: July 2022

Evaluation of the heteroatom tolerance capability of neodymium‐based precatalysts and its accompanied catalytic influences is of great significance for industrial production of polybutadienes because the corresponding active species is highly sensitive to heteroatom‐based impurities that are usually inevitable in the polymerization system. Based this consideration, the present research disclosed a systematical study of the influence of N‐containing donors on a ternary Nd‐based system of Nd(vers)3/DIBAH/TEA/EASC. It was found that the presence of 1% of such donors, regardless of their types that bears different electronic/steric properties, brought little influence on the catalytic activities as well as the cis‐1,4‐stereoselectivities of the catalytic system, giving cis‐1,4‐enriched polybutadienes with comparable yields. Furthermore, the presence of such a concentration of N‐donor also brought little influence on the coordinative chain transfer polymerization behaviors of the system, giving narrowly distributed polybutadiene products in a well‐controlled manner. Nevertheless, further increasing the concentration of N‐donors to >1% eventually led to a gradually decreased polymer yields due to the poison of the corresponding active species, and the obtained catalytic efficiencies were highly dependent on the types of N‐donors. The influence of the N‐donor on other parameters of the products, that is, molecular weights, polydispersities, and so forth, were also investigated, and the specific reasons were proposed.
Is there an interplay between the SARS‐CoV‐2 spike protein and Platelet‐Activating factor?
Authors: Antonopoulou Smaragdi , Petsini Filio , Detopoulou Maria , Theoharides Theoharis C. , Demopoulos Constantinos A.
Published: July 2022

Previous publications have reported a potent effect of COVID‐19 on platelet function and that the Spike protein enhances washed human platelet aggregation induced by various agonists. This study aims to evaluate whether mRNA vaccination for COVID‐19 affects human platelet‐rich plasma (hPRP) aggregation response, whether a recombinant Spike protein modulates PAF‐induced aggregation in hPRP and in washed rabbit platelets (WRP), and to investigate the effect of recombinant Spike protein on the PAF production in the U‐937 cell line. Our results showed that PRP from vaccinated individuals exhibited ex vivo lower EC50 values in response to PAF, ADP, and collagen. Platelet incubation with the Spike protein alone did not induce aggregation either in hPRP or in WRP, but resulted in augmentation of in vitro PAF‐induced aggregation in hPRP from non‐vaccinated individuals and in WRP. When PRP from vaccinated individuals was incubated with the Spike protein and PAF was subsequently added, elimination of the secondary wave of the biphasic aggregation curve was recorded compared with the aggregation induced by PAF alone. Collagen‐induced in vitro aggregation was dose‐dependently reduced when platelets were pre‐incubated with the Spike protein in all tested aggregation experiments. Stimulation of U‐937 by the Spike protein induced an increase in intracellular PAF production accompanied by elevation of the activities of all three PAF biosynthetic enzymes. In conclusion, since the Spike protein appears to modulate PAF production and activity, the use of compounds that act as PAF inhibitors, could be considered at least in mild cases of patients infected with SARS‐CoV‐2.
Does environmental, social, and governance performance move together with corporate green innovation in China?
Authors: Zheng Mingbo , Feng Gen‐Fu , Jiang Ren‐Ai , Chang Chun‐Ping
Published: July 2022

This research investigates the bidirectional cointegration relationship between environmental, social, and governance (ESG) performance and corporate green innovation with a panel of 770 Chinese listed firms during the 2011–2020. We find that there exists a long‐run bidirectional comovement between ESG performance and corporate green innovation output. ESG performance exerts a short‐run and long‐run causal link with green innovation output. The panel cointegration test and VECM estimation also support that ESG performance moves together with green innovation output for clean industries, while ESG performance only presents a long‐run relationship to green invention patents output for pollution industries. Our findings offer important value for policymakers and enterprises to propose an effective strategy to stimulate green innovation and improve ESG score.
Spatial variability of snow density and its estimation in different periods of snow season in the middle Tianshan Mountains, China
Authors: Feng Ting , Zhu Shuzhen , Huang Farong , Hao Jiansheng , Mind'je Richard , Zhang Jiudan , Li Lanhai
Published: July 2022

Snow density is an essential property of snowpack. To obtain the spatial variability of snow density and estimate it in different periods of the snow season remain challenging, particularly in the mountainous area. This study analysed the spatial variability of snow density with in‐situ measurements in three different periods (i.e., accumulation, stable and melt periods) of the snow seasons of 2017/2018 and 2018/2019 in the middle Tianshan Mountains, China. The simulation performances of the multiple linear regression (MLR) model and three machine learning (random forest [RF], extreme gradient boosting [XGB] and light gradient boosting machine [LGBM]) models were evaluated. Results showed that snow density in the melt period (0.27 g cm−3) was generally greater than that in the stable (0.20 g cm−3) and accumulation periods (0.18 g cm−3), and the spatial variability of snow density in the melt period was slightly smaller compared to that in other two periods. The snow density in the mountainous areas was generally higher than that in the plain or oasis areas. It increased significantly (p < 0.05) with elevation during the accumulation and stable periods. In addition to elevation, latitude and ground surface temperature also had critically impacted the spatial variability of snow density in the study area. In the current study, the machine learning models, especially RF, performed better than MLR for simulating snow density in the three periods. Based on the key environmental variables identified by the machine learning model and correlation analysis, this study also provides practical MLR equations to estimate the spatial variance of snow density during different snow periods in the middle Tianshan Mountains. This method can be used for regional snow mass and snow water equivalent prediction, leading to a better understanding of local snow resources.
Molecular tailoring approach as tool for revealing resonance‐assisted hydrogen bond: Case study of Z‐pyrrolylenones with the NH⋯OС intramolecular hydrogen bond
Authors: Afonin Andrei V. , Rusinska‐Roszak Danuta
Published: July 2022

Both the experimental and calculated data reveal that a strong NH⋯OС intramolecular hydrogen bond closing the seven‐membered quasi‐cycle is formed in the Z‐isomers of pyrrolylenones. Comparison of the NH⋯OС intramolecular hydrogen bonds energies in the pyrrolylenones, estimated via the molecular tailoring approach, with the similar data for reference malonaldehydes shows that the resonance‐assisted hydrogen bonding occurs in both cases, the hydrogen bond energy being varied mainly within 10–20 kcal/mol. The combined application of function‐based and molecular tailoring approaches makes it possible to decompose the NH⋯OС total hydrogen bond energy in the pyrrolylenones into the π‐ and σ‐components. It is established that the contribution of the π‐component to the total N(O)H⋯OС hydrogen bond energy in the pyrrolylenones and malonaldehydes is almost the same (6–7 kcal/mol). Comparison of the π‐contribution to the total energy of the resonance‐assisted hydrogen bonding in the Z‐isomer of pyrrolylenones with the energy of the push‐pull effect in the E‐isomer of pyrrolylenones reveals that the resonance contribution to the total energy of the resonance‐assisted hydrogen bond in the former significantly enhances with reference to the net resonance energy in the latter. The appearance of the resonance‐assisted hydrogen bond in the pyrrolylenones is possible due to the participation in the interaction of 10 or 14 π‐electrons satisfying the Hückel aromaticity rule.
Thyroid Antibody Titers and Hypothalamic‐Pituitary‐Thyroid Axis Activity in Levothyroxine‐Treated Women With Autoimmune Subclinical Hypothyroidism Receiving Atorvastatin or Metformin
Authors: Krysiak Robert , Kowalcze Karolina , Okopień Bogusław
Published: July 2022

Both metformin and statins reduce thyroid antibody titers in individuals with Hashimoto thyroiditis. The present study compared the impact of low‐grade systemic inflammation and insulin resistance on levothyroxine action in subjects with this disorder. The study included 3 groups of women with autoimmune subclinical hypothyroidism matched for thyroid antibody titers and hormone levels: patients receiving atorvastatin (group A) or metformin (group B) and statin‐ and metformin‐naïve women (group C). Over the entire study period (6 months), all individuals received levothyroxine. Titers of thyroid antibodies, as well as concentrations of thyrotropin, free thyroid hormones, prolactin, lipids, glucose, insulin, high‐sensitivity C‐reactive protein (hsCRP), and 25‐hydroxyvitamin D were assessed at baseline and 6 months later. At baseline, the study groups differed in plasma lipids, insulin sensitivity, and hsCRP. In all groups of patients, levothyroxine decreased thyroid antibody titers, reduced thyrotropin levels and increased free thyroid hormone levels. Treatment‐induced changes in antibody titers and free thyroid hormone levels were strongest in group A, while the changes in thyrotropin were most pronounced in group B. The decrease in antibody titers correlated to a greater degree with hsCRP levels than with insulin sensitivity. The obtained results suggest that low‐grade systemic inflammation is a more important factor determining the impact of levothyroxine on thyroid autoimmunity and thyroid hormone levels than insulin resistance.