bluuebunny/crossref_metadata_2025 huggingface dataset:
The changing spectrum of infection with BCMA and GPRC5D targeting bispecific antibody (bsAb) therapy in patients with relapsed refractory multiple myeloma
Authors: Hammons Lindsay , Szabo Aniko , Janardan Abhishek , Bhatlapenumarthi Vineel , Annyapu Evanka , Dhakal Binod , Al Hadidi Samer , Radhakrishnan Sabarinath Venniyil , Narra Ravi , Bhutani Divaya , Thanendrarajan Sharmilan , Janz Siegfried , Zangari Maurizio , Lentzsch Suzanne , Van Rhee Frits , Crescencio Juan Carlos Rico , D’Souza Anita , Chakraborty Rajshekhar , Mohan Meera , Schinke Carolina
Published: August 2023

There is a paucity of granular data on infection risk with B-cell maturation antigen (BMCA) and GPRC5D bispecific antibodies (bsAb) in relapsed/refractory multiple myeloma (RRMM). The aim of our multi-institutional study was to characterize the incidence, etiologies, and risk factors of infections from the start of therapy to the last follow-up or 90 days after study exit. A total of 66 patients received BCMA bsAb monotherapy, 15 GPRC5D bsAb monotherapy, and 15 GPRC5D bsAb combination therapy with daratumumab and/or pomalidomide. While the infection rate per 100 days was 0.57 for BCMA bsAb, it was 0.62 for GPRC5D bsAb combination and 0.13 for GPRC5D bsAb monotherapy; P=0.05. The proportion of infections that were grade ≥3 was higher in the BCMA bsAb group compared to the GPRC5D groups (58% vs. 36%; P=0.04). Grade 5 events were observed in 8% (n=8) of the patients, all treated with BCMA bsAb. The 9 month cumulative incidence of any grade of infection was similar in the BCMA and GPRC5D-combination groups (57% and 62%) and significantly higher than in the GPRC5D-mono group (16%); P=0.012. The cumulative incidence of grade ≥3 infections was highest in the BCMA group reaching 54% at 18 months; P=0.06. Multivariate analysis showed that BCMA bsAb therapy or GPRC5D combination therapy, history of previous infections, baseline lymphopenia, and baseline hypogammaglobulinemia were significantly associated with a higher risk of grade ≥3 infections. Our results indicate that BCMA bsAb and GPRC5D-combination therapies in RRMM are associated with higher cumulative incidence of infection and grade ≥3 infection compared to GPRC5D bsAb mono.
Survival, Growth and Yield of Aman Rice Under Varied Duration of Submergence
Authors: Bishas K , Mamun MAA , Miah MAB , Karim MA
Published: August 2023

Sixteen aman rice varieties were screened against two and three weeks of submergence based on their survival, growth and yield performance following split-plot design with three replications. Rice varieties AZ7006, BRRI dhan49, BRRI dhan52 and BRRI dhan57 exhibited the highest survival rate and minimum lodging that were associated with greater dry matter production under two weeks of submergence. Submergence affected the production of tillers, panicle and spikelets resulting lower grain yield than control. All the rice varieties except AZ7006 and BRRI dhan52 died under three weeks of submergence, where a small shoot of these varieties lived. These two varieties took longer time for producing shoot dry matter, tiller, panicle and maturity. Though they produced spikelets, but these were sterile due to low air temperature at flowering stage. Moreover, rice varieties BRRI dhan52, BRRI dhan57, BRRI dhan90 and AZ7006 under two weeks; and BRRI dhan52 and AZ7006 under three weeks of submergence acquired a combination of morphological and yield contributing response that ultimately induced a higher level of submergence tolerance. As the study revealed that BRRI dhan52 and AZ7006 were submergence tolerant, they could be incorporated in breeding program to develop rice variety for submergence tolerant up to three weeks.
Ann. Bangladesh Agric. (2022) 26 (2) : 51-70
Effect of Organic Amendments and Arbuscular Mycorrhizal Fungi on Plant Growth, Yield And Quality of Strawberry
Authors: Apu SC , Biswas MS , Bhuiyan MAB , Gomasta J , Easmin S , Kayesh E
Published: August 2023

An experiment was conducted at the research field and the laboratory of the Department of Horticulture, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur-1706, Bangladesh from October 2018 to March 2019 to investigate the effect of organic amendments and arbuscular mycorrhizal fungi (AMF) on growth, yield and quality of strawberry var. BARI Strawberry-2. The experiment was laid out in RCBD design with three replications taking into eight treatments including control viz., T1: vermicompost (324 g/pot), T2: biochar (324 g/pot), T3: AMF (324g/pot), T4: vermicompost (162 g/pot) + biochar (162 g/pot), T5: biochar (162 g/pot) + AMF (162 g/pot), T6: vermicompost (162 g/pot) + AMF (162 g/pot), T7: vermicompost (108 g/pot) + biochar (108 g/pot) + AMF (108 g/pot) and T8: control (no manure or AMF). Results of the study revealed that the highest plant height (18.40 cm), number of leaves/plant (37.00), leaf area (578.60 cm2), root length (24.50 cm), fresh and dry weight of root (30.00 g and 12.5 g) and shoot (131 g and 41.00 g), number of flowers (32.67/plant) and fruits (22.33/plant), single fruit weight (21.60 g) and yield/plant (401.99 g) were recorded in T6 treatment which was significantly superior to all other treatments. Among the fruit nutrient and mineral contents, ascorbic acid (36.20 mg/100 g), total sugar (9.10 g/100 g), Ca (11.87 mg/100 g), Mg (36.67 mg/100 g) and K (73.33 mg/100 g) were also measured maximum in T6 treatment. On the other hand, TSS (8.49 %) and water percentage in fruit (66.95 %) were found significantly higher in T7 and T4 treatments, respectively while the lowest was estimated in the control. A significant influence of T6 treatment [vermicompost (162 g/pot) + AMF (162 g/pot)] on growth, yield and qualitative characters was observed. Therefore, vermicompost and AMF combination has reflected a positive impact on good quality strawberry production. However, it needs to be investigated under the open field condition before conferring recommendation to the end users.
Ann. Bangladesh Agric. (2022) 26 (2) : 71-82
Sistem Pengelolaan dan Upaya Penanggulangan Sampah Di Kelurahan Dufa- Dufa Kota Ternate
Authors: Sahil Jailan , Al Muhdar Mimien Henie Irawati , Rohman Fachtur , Syamsuri Istamar
Published: August 2023

Persoalan sampah tidak henti hentinya untuk dibahas,Â  Â karena berkaitan dengan pola hidup serta budaya masyarakat itu sendiri. Kota Ternate adalah salah satu kota yang mengalami pertumbuhan penduduk dan ekonomi yang cukup memicu meningkaknya kegiatan jasa, industri, bisnis dan sebagainya di wilayah Ternate sehingga akan memicu meningkatnya produksi limbah buangan atau sampah. Kota Ternate mengalami permasalahan pengelolaan persampahan yakni masalah pengangkutan sampah, berdasarkan data bahwa jumlah ketersediaan prasarana pengangkutan hanya mampu mengngkut timbulan sampah sebesar 214 mÂ³/hari, dinas kebersihan kota Ternate, (2012) sedangkan berdasarkan hitungan bahwa timbulan sampah tahun 2012 adalah 413 mÂ³/hari didasari pada jumlah penduduk kota Ternate saat ini yakni 172.559 jiwa BPS Ternate dalam angka, (2011) bararti menyisakan 52% sampah tidak terangkut ke TPA. Meningkatnya produksi sampah tanpa sistem pengolahan yang tepat Â menjadi alasan tidak terciptanya lingkungan yang bersih. Penelitian ini merupakan jenis penelitian deskriptif. Penelitian ini merupakan jenis penelitian deskriptif dengan menggunakan metode analisis data distribusi frekuensi dengan dilakukan analisis terhadap sistem pengelolaan sampahan di Kelurahan Dufa- Dufa. Hasil penelitian menunjukkan bahwa, pengelolaan persampahan di Kota ternate belum cukup baik, beberapa faktor yang mempengaruhui sistem pengelolaan sampah di Kelurahan Dufa-Dufa masih mengalami permasalahan yakni budaya sikap dan perilaku masyarakat, timbunan dan karakteristik sampah, serta sarana pengumpulan, pengangkutan, pengelolaan dan pembuangan akhir sampah.
KONSERVASI HUTAN MANGROVE DI PESISIR PANTAI KOTA TERNATE TERINTEGRASI DENGAN KURIKULUM SEKOLAH
Authors: Majid Ilham , Al Muhdar Mimien Henie Irawati , Rohman Fachtur , Syamsuri Istamar
Published: August 2023

Ekosistem Â hutan Â mangroveÂ  berfungsi Â sebagai Â perlindungan Â pantai Â secaraÂ  alami untuk mengurnagi resiko terhadap bahaya abrasi. Kota Ternate adalah sala satu kota pesisir yang memiliki hutan mangrove dengan luas 14,65 Ha namun luas kawasan mangrove tersebut telah mengalami kerusakan disebabkan oleh tebang habis, konversi menjadi lahan pertanian, perikanan, pemukiman, Â pembuangan sampah padat dan cair, pencemaran tumpahan minyak, dan Â reklamasi Â pantai, Â Pendekatan Â konservasi Â yangÂ  dilakukan Â untuk Â memulihkan Â serta menjaga dan melindungi hutan mangrove di Kota Ternate adalah dengan pendekatan pendidikan konservasi di sekolah formal melalui pengembangan kurikulum.
DATA MINING IMPLEMENTATION FOR DETECTION OF ANOMALIES IN NETWORK TRAFFIC PACKETS USING OUTLIER DETECTION APPROACH
Authors: Setiawan Kurnia , Wibowo Arief
Published: August 2023

The large number of data packet records of network traffic can be used to evaluate the quality of a network as well as to analyze the occurrence of anomalies in the network, both related to network security and network performance. Based on the data obtained, the occurrence of anomalies in computer networks can not be detected specifically on which traffic packets. Meanwhile, to monitor network traffic packets manually will require a lot of time and resources, making it difficult to detect potential anomaly events more specifically. This study analyzes network packet traffic data to see records that include anomalies with an outlier detection approach, using the Isolation Forest algorithm to detect outliers on network traffic packet data, with the result that minority data are of the outliers type of 1,643 records (4.86%), while inliers are 32,098 records (95.13%). Then check and filter the expert attributes that contain expert information. The outlier detection results were classified using 5 algorithms as comparison, namely Random Forest Classifier, Support Vector Machine, Decision Tree Classifier, K-Nearest Neighbor, and Bernoulli Naive Bayes. The Random Forest algorithm has the highest score for accuracy, macro average precision, and macro average f1-score, namely 0.9962067330488383; 0.78; and 0.82. The classification model can be used to classify samples with labels "inliers", "outliers", "Error", and "warning outliers". There are labels that have scores for precision, recall, and f1-scrore that are not too high, namely the labels â€œerrorâ€ (0.50; 1.00; and 0.67) and â€œwarning outlierâ€ (0.64; 0 .70; 0.67). The resulting classification model is used for prototype development that facilitates the process of investigating potential network traffic packet anomalies more specifically.
DESIGN OF INFORMATION TECHNOLOGY GOVERNANCE IN THE INFORMATION TECHNOLOGY DIVISION OF PT PLN USING THE FRAMEWORK COBIT 2019
Authors: Tonapa Jennis , Suryani Erma
Published: August 2023

In order to support the company's main business objectives, PLN UP3 Manokwari has implemented Information Technology (IT) which is structurally managed and implemented by the information technology division. However, information technology management in the IT division has not yet implemented information technology governance. To support the ongoing management of information technology, the information technology division of PLN UP3 Manokwari still uses the system manually. Manual management of information technology has many risks, this causes the company's main business objectives to not be achieved optimally. The method used in this study refers to the 2019 COBIT framework. From data analysis, it is known that the level of capability of the selected IT governance process in this study is the process in the domain EDM03, APO03, APO12, APO13, BAI01, BAI03, BAI06, BAI07, BAI11 , and DSS05 are mostly still at level 2, while the capability level expected by companies is mostly at level 4. The results of this study are in the form of recommendations for improvements aimed at achieving the expected level of capability by companies and design of IT governance as a reference for the IT Division PT PLN UP3 Manokwari in managing better IT processes to support the achievement of the company's main business objectives.
MOBA GAME REVIEW SENTIMENT ANALYSIS USING SUPPORT VECTOR MACHINE ALGORITHM
Authors: Panjalu Alif Fajar , Alam Syariful , Sulistyo Mochammad Imam
Published: August 2023

MOBA as one of the many popular subgenres today, Mobile Legend, Arena of Valor, League of Legend and Lokapala based on the large number of downloads can be mentioned as popular MOBA games, but the rating of these four applications is below 4.0 on the Google Play platform Store, this happens because some users may think that this mobile MOBA game has several advantages, but also some disadvantages that affect ratings. This study aims to determine the results of sentiment analysis on mobile MOBA games using Google Play Store reviews. Then it is processed using Python programming to create a model with the linear kernel Support Vector Machine (SVM) algorithm to classify the dataset. From the results of the classification model test using 19,579 data, where there were 10,017 positive sentiment data and 9,562 negative sentiment data and the distribution of train data and test data was 70%: 30%, obtained an accuracy of 82.64% and then re-evaluated using the Cross Validation method using 5 times so that an accuracy of 83.38% is obtainedÂ Keywords: MOBA, Sentiment Analysis, Machine Learning, SVM, Cross Validation
HYPERPARAMETER TUNING ON RANDOM FOREST FOR DIAGNOSE COVID-19
Authors: Baita Anna , Prasetyo Inggar Adi , Cahyono Nuri
Published: August 2023

Diagnosis of Covid using the RT-PCR (Reverse Transcription Polymerase Chain Reaction) test requires high costs and takes a long time. For this reason, another method is needed that can be used to diagnose Covid-19 quickly and accurately. Random Forest is one of the popular classification algorithms for making predictive models. Random forest involves many hyperparameters that control the structure of each tree, the forest, and its randomness. Random Forest is a method which very sensitive to hyperparameter values, as their prediction accuracy can increase significantly when optimized hyperparameters are predefined and then adjusted according to the procedure. The purpose of doing hyperparameter tuning on the random forest algorithm is to increase accuracy in the diagnosis of covid-19. Searching for optimal values of hyperparameters is done by the Grid Search method and Random Search. The result explains that the Random Forest can be used to diagnose Covid-19 with an accuracy of 94%, and with hyperparameter tuning, it can increase the accuracy of the random forest by 2%.
Multiclass Email Classification by Using Ensemble Bagging and Ensemble Voting
Authors: Helmut Ali , Murdiansyah Danang Triantoro
Published: August 2023

Email is a common communication technology in modern life. The more emails we receive, the more difficult and time consuming it is to sort them out. One solution to overcome this problem is to create a system using machine learning to sort emails. Each method of machine learning and data sampling result in different performance. Ensemble learning is a method of combining several learning models into one model to get better performance. In this study we tried to create a multiclass email classification system by combining learning models, data sampling, and several data classes to obtain the effect of Ensemble Bagging and Ensemble Voting methods on the performance of the macro average f1 score, and compare it with non-ensemble models. The results of this study show that the sensitivity of Naïve Bayes to imbalance data is helped by the Ensemble Bagging and Ensemble Voting method with ∆P (delta performance) of range 0.0001 – 0.0018. Logistic Regression has performance with Ensemble Bagging and Ensemble Voting by ∆P of range 0.0001-0.00015. Decision Tree has lowest performance compared to others with ∆P of -0.01
The Design and Implementation E-Scaffolding Enhance Learning (ESEL) Using Web-based Simulation on Moment of Inertia
Authors: Sarah Lia Laela , Ananto Yudi , Octanary Dona , Nussifera Lissiana
Published: August 2023

In this study, E-Scaffolding Enhance Learning (ESEL) using Web-based simulation has been designed and implemented. The scaffolding approach in this research is a conceptual scaffolding of the moment of inertia. Web-based simulation consists of 2D and 3D simulation. The 3D simulation was developed using unity software and 2D simulation was developed using scratch and articulate storyline software. All simulation was published as an Html file, and finally inserted into the website. The validation of the product was carried out by experts such as a physics lecturer and a physics teacher. The implementation phase was carried out through collaborative distance learning between one Senior High School in Bandung and one school in West Nusa Tenggara. The validation results show that ESEL using Web-based simulation on moment of inertia is deserved with an average score of 92% in the very good category. Nevertheless, there are several improvements still need to be made in terms of the appearance of the Web-based 3D simulation especially when it is accessed by phone cell. The appearance of the Web-based 3D simulation is still not responsive for smartphones. But based on the questionnaire result of students, ESEL using Web-based simulation on moment of inertia has a value 71% which means that ESEL has a good category of validation and is interesting for the students. ESEL using Web-based simulation also improves studentsâ€™ activities in the distance learning of physics classroom.
Citizen Science Project, Weather-it, in Science Education: The Scientific Attitudes of Junior High School Students
Authors: Muaziyah St E Sururiyatul , Hidayat Topik , Sriyati Siti , Lutianasari Lia
Published: August 2023

Formal education increasingly includes citizen science projects. There is clear evidence of the benefits of citizen science projects for science learning, where one of the goals of science education is to foster a logical mindset and add information to students. This study aimed to measure changes in scientific attitude and the addition of knowledge acquired by students. This project is named Weather-it, which consists of activities to investigate the weather and identify clouds. Thirty junior high school students were involved in this study. Research data were obtained from semi-structured interviews and questionnaires. The experts have verified the 23 statement items on the questionnaire sheet. The results showed that 77% of students were in the good category for the indicator of curiosity, 67% in the sufficient category for the indicator of respect for data, 93% for the sufficient category for the indicator of critical thinking, and 77% for the sufficient category for the indicator of open-mindedness and cooperation. Furthermore, students explained the knowledge they gained through the citizen science project, Weather-it, including knowledge about clouds, technology, the use of Microsoft Excel in processing data, the use of weather in aviation, and the duties of a meteorologist.
DUAN LIANQIN’İN BAKIŞ AÇISINA GÖRE XUEYANTUO HANLIĞI’NDA EKONOMİK VE SOSYAL SİSTEM
Authors: AKTAŞ Şükrü
Published: August 2023

Duan Lianqin, Türk tarihinin önemli kesit ve dönemleri üzerine çalışmaları bulunan çok önemli bir Çinli bilim insanı ve araştırmacıdır. Yapmış olduğu çalışmalar Türk dünyasının ve Türk tarihinin derinliklerinde gizli kalan pek çok konuda kıymetli eserler olarak günümüzde yoğunlukla kullanılan başucu eserleri veya temel kaynaklar olarak tanımlanabilecek nitelikte eserlerdir. Bu bağlamda daha önce üzerine çalışmalarda bulunduğum, Çincede Xueyantuo, Türkçemizde Sir-Tarduş veya Seyanto olarak da tabir edilen Tielelara mensup bu boy hakkında salt Duan Lianqin’in gözünden ekonomik ve sosyal sistemleri ele alınmıştır. Bu çalışmada amaç Duan Lianqin’in “Dingling, Tiele ve Gao-che” başlığı ile yayınladığı eserinde, Xueyantuo Hanlığında ekonomik ve sosyal sistemini nasıl ele aldığı ve aktardığını özgün yorumları ile ilgili eserindeki aslına sadık kalarak anlatmaktır.
COVID-19 Pandemisi Sürecinde Algılanan İş Güvencesizliğinin Algılanan Stres Üzerindeki Etkisinde Psikolojik Dayanıklılığın Aracılık Rolü
Authors: EROĞLU Şeyma Gün , TOROS Füsun
Published: August 2023

İnsanlık, 21. yüzyılda COVID-19 pandemisiyle küresel çapta ve uzun süreli bir salgın süreci ile ilk kez karşı karşıya kalmıştır. Bu tür bir zorluğun üstesinden nasıl gelinebileceğine dair fazla bir deneyimin olmaması, COVID-19 pandemisinin ortaya çıkardığı sosyo-ekonomik risk faktörlerinden biri olan iş güvencesizliği algısının olgusal sonuçlarını incelemeyi daha önemli hale getirmektedir. Bu çalışmada, COVID-19 pandemisi sürecinde iş güvencesizliği algısının, algılanan stresin stres algısı ve yetersiz öz-yeterlik algısı şeklinde ifade edilen boyutları üzerindeki etkisinde psikolojik dayanıklılığın aracılık rolü incelenmiştir. Araştırmanın örneklemini özel sektörde çalışan 364 katılımcı oluşturmaktadır. Yapılan istatistiki analizler sonucunda iş güvencesizliği algısının stres algısı ve yetersiz öz-yeterlik algısı üzerindeki etkisinde psikolojik dayanıklılığın sırasıyla kısmi aracılık ve tam aracılık rolü olduğu bulunmuştur. Bu bulguların, farklı faktörlerden kaynaklanan kriz dönemlerinde de örgütler açısından çalışanların iş güvencesizliğine dair algı ve endişelerini gidermek ve onların algıladıkları stres düzeylerini azaltmak ve bireyler açısından da zorluklar karşısında dayanıklılık geliştirmelerini sağlamaya yönelik çabalara katkı sağlaması beklenmektedir.
Bir Meslek Olarak Kadın Polis Algısına Sosyolojik Bir Bakış ve Kadın Polislerin Medyada Temsili
Authors: EKMEKÇİ Zeynep , İLHAN Gökhan , KÜÇÜKALKAN Yavuz
Published: August 2023

Toplumsal değişimler mesleklere olan bakış açısını etkilemektedir. Kadının çalışma yaşamındaki yeri bu sosyolojik değişimlerden etkilenmektedir. Başlangıçta erkeklerin yoğun çalıştığı polislik mesleğine gün geçtikçe kadınların daha fazla ilgi gösterdiği görülmektedir. 1980’lerde liberal politikalarla bu ilgi daha da artmaktadır. Ancak bu dönemde medyada sergilenen kadın polis algısı daha kadınsı giyim kuşama ve davranışa sahip, çoğu zaman silah taşımayan ve olay yerinde çalışmaktan ziyade daktilo yazmayı gerektiren görevlerde çalışan daha nahif bir şekilde gösterilmektedir. 2000’li yıllara gelindiğinde daha maskülen ifadelere, söylemlere ve görünüşe sahip ofiste çalışmaktan ziyade olay yerinde müdahale eden, sorguya giren ve silah taşıyan bir kadın polis görünümü sunulmaktadır. Çalışmada sosyolojik değişimlerin kadın polis algısını nasıl kodladığı bağlamında göstergebilimsel bir analiz yapılmıştır. Bu bağlamda 1980 -1990’lı yıllarda yayımlanan İz Peşinde dizisi ile 2006 yılında yayımlanmaya başlayan ve halen yayımda olan Arka Sokaklar dizisi incelenmiştir.
UNESCO ve UNICEF Tarafından Geliştirilen Okul Müfredatına Afet Risk Azaltımının Entegrasyonu İçin Teknik Rehberi’nin Değerler Bağlamında İncelenmesi
Authors: KAYIRAN Derya
Published: August 2023

Çalışmanın amacı UNESCO ve UNICEF tarafından 30 ülkenin okul müfredatları incelenerek hazırlanan Okul Müfredatına Afet Risk Azaltımının Entegrasyonu için Teknik Rehberi’ndeki kazanımların, Türkiye’de eğitim müfredatlarında kazandırılması hedeflenen 10 kök değer ile ne kadar bağlantılı olduğunu araştırmayı hedeflemektedir. Araştırma nitel araştırma desenlerinden biri olan doküman inceleme yöntemi ile gerçekleştirilmiştir. Araştırmanın verileri içerik analizi tekniği ile analiz edilmiştir. Elde edilen bulgular neticesinde teknik rehberde yer alan değer verme ve sorumluluk kazanımının; MEB tarafından belirlenen 10 kök değer arasından yardımseverlik, dostluk, özdenetim ve sorumluluk değerlerinin uyumlu olduğu görülmüştür.
Sezai Karakoç ve Sinema
Authors: GÜNEŞ Eyyüp
Published: August 2023

Sezai Karakoç (1933-2021), 1950’li yıllar için İkinci Yeni şirinin içinde anılırken daha sonra Cumhuriyet dönemi Türk şiirinde farklı ufuklar açıp modern Türk şiirinin özgün isimlerinden biri olmuştur. Sezai Karakoç’un şiirlerinde diriliş değerleri, geleneksel hayat görüşü, tarih şuuru, İslâm kültür ve medeniyeti, modern düşünce dinamikleri ve aşk estetiği gibi unsurlar göze çarpar. Yenidünya düzenin köşe taşlarını düşünce yazılarında irdeleyen Karakoç, yeni nesle yol haritası çizmeye çalışır. Ona göre teknolojiden, siyasete, tiyatrodan, sinemaya kadar her alanda yeniden ‘Diriliş’in İslami kodları yazılmalıdır. Karakoç, tüm hayatını ve külliyatını bu yeni düzenin kodlarına adamıştır diyebiliriz. Sinema da bu yeni düzenin argümanlarından biri olarak karşımıza çıkar. Araştırma nitel araştırma yöntemlerinden doküman analizi tekniği ile yürütülmüştür. Bu çalışmada Sezai Karakoç’un düşünce yazıları ve şiirlerine sinema özelinde bakılarak bir tahlil yapılmaya çalışılmıştır.
Recent progress in vaccine development targeting pre-clinical human toxoplasmosis
Authors: Chu Ki-Back , Quan Fu-Shi
Published: August 2023

Toxoplasma gondii is an intracellular parasitic organism affecting all warm-blooded vertebrates. Due to the unavailability of commercialized human T. gondii vaccine, many studies have been reported investigating the protective efficacy of pre-clinical T. gondii vaccines expressing diverse antigens. Careful antigen selection and implementing multifarious immunization strategies could enhance protection against toxoplasmosis in animal models. Although none of the available vaccines could remove the tissue-dwelling parasites from the host organism, findings from these pre-clinical toxoplasmosis vaccine studies highlighted their developmental potential and provided insights into rational vaccine design. We herein explored the progress of T. gondii vaccine development using DNA, protein subunit, and virus-like particle vaccine platforms. Specifically, we summarized the findings from the pre-clinical toxoplasmosis vaccine studies involving T. gondii challenge infection in mice published in the past 5 years.
Evaluation of schistosomula lung antigen preparation and soluble egg antigen vaccines on experimental schistosomiasis mansoni
Authors: Aly Nagwa S. M. , Kim Hye-Sook , Eraky Maysa A. , Kholy Asmaa A. El , Ali Basma T. , Miyoshi Shin-ichi , Omar Rabab E.
Published: August 2023

Schistosomiasis causes significant morbidity and mortality worldwide. This study aimed to assess the effect of schistosomula lung antigen preparation (SLAP) and soluble egg antigen (SEA) on a murine schistosomiasis mansoni model. Ninety laboratory-bred male Swiss albino mice were divided into 6 groups. Two doses of the vaccine were given at 2-week intervals. All mice were subcutaneously infected with 80±10 Schistosoma mansoni cercariae 2 weeks after the last vaccination dose. They were sacrificed 7 weeks post-infection. Parasitological and histopathological studies were conducted to assess the effect of inoculated antigens (single or combined). The results showed that the combination of SLAP and SEA (combination group) led to a significant reduction in worm burden (65.56%), and liver and intestine egg count (59% and 60.59%, respectively). The oogram pattern revealed a reduction in immature and mature eggs (15±0.4 and 10±0.8, respectively) and an increased number of dead eggs in the combination group (P<0.001). In terms of histopathological changes, the combination group showed notably small compact fibrocellular egg granuloma and moderate fibrosis in the liver. A high percentage of destroyed ova was observed in the intestine of the combination group. This study demonstrates for the first time the prophylactic effect of combined SLAP and SEA vaccine. The vaccine induced a significant reduction in the parasitological and pathological impacts of schistosomiasis mansoni in hepatic and intestinal tissues, making it a promising vaccine candidate for controlling schistosomiasis.
Standard- and large-sized eggs of Trichuris trichiura in the feces of schoolchildren in the Yangon Region, Myanmar: Morphological and molecular analyses
Authors: Ryoo Seungwan , Jung Bong-Kwang , Hong Sooji , Shin Hyejoo , Song Hyemi , Kim Hyun-Seung , Ryu Jin-Youp , Sohn Woon-Mok , Hong Sung-Jong , Htoon Thi Thi , Tin Htay Htay , Chai Jong-Yil
Published: August 2023

Standard- and large-sized eggs of Trichuris trichiura were found in the feces of schoolchildren in Yangon, Myanmar during epidemiological surveys and mass deworming with albendazole in 2017-2019. The standard-sized eggs were identified as those of T. trichiura, but it was necessary to exclude the possibility of the large-sized eggs belonging to Trichuris vulpis, a dog whipworm. We conducted morphological and molecular studies to determine the species of the 2 types of Trichuris eggs. Individual eggs of both sizes were isolated from Kato-Katz fecal smears (n=20) and mechanically destroyed using a 23G injection needle. Nuclear DNA was extracted, and the 18S rRNA region was sequenced in 15 standard-sized eggs and 15 large-sized eggs. The average size of standard-sized eggs (T. trichiura) was 55.2×26.1 μm (range: 51.7-57.6×21.3-28.0 μm; n=97), whereas the size of large-sized eggs was 69.3×32.0 μm (range: 65.1-76.4×30.1-34.5 μm; n=20), slightly smaller than the known size of T. vulpis. Regarding standard-sized eggs, the 18S rRNA nucleotide sequences exhibited 100% homology with T. trichiura deposited in GenBank and 88.6-90.5% homology with T. vulpis. Regarding large-sized eggs, the nucleotide sequences showed 99.8-100% homology with T. trichiura in GenBank and 89.6-90.7% homology with T. vulpis. Both standard- and large-sized eggs of Trichuris spp. found in Myanmar schoolchildren during 2017-2019 were morphologically and molecularly confirmed to belong to T. trichiura. The conversion of eggs from smaller to large sizes might be due to anthelmintic treatments with albendazole.
The Readiness For Enhancement Of School-Age Children Development With Therapeutic Group Therapy: A Systematic Review
Authors: Sartika Zulhaini , Purnomo Edi , Hamid Achir Yani S
Published: August 2023

School-age children are individuals who are in the age range of 6-12 years which is known as the industrial phase of development. Failure to achieve this development can cause school children to experience low self-esteem. School-age children are the nation's future generation whose growth and development needs to be considered. The development of school-age children includes motor, cognitive, language, personality, emotional, moral, spiritual, and psychosocial aspects that can be stimulated by Therapeutic Group Therapy. The purpose of this literature study is to determine the effectiveness of Therapeutic Group Therapy towards increasing the development of the industrial phase of school children. The method used is a systematic review. The results of a review of 8 articles found that Therapeutic Group Therapy improves the industrial phase of school children, namely motor, cognitive, language, emotional, personality, moral, spiritual, and psychosocial aspects, as well as increasing the ability of families, cadres and teachers to stimulate the development of school children. In conclusion, the application of Therapeutic Group Therapy is effective in increasing the industrial development of school children by empowering families, teachers, and mental health cadres. This literature study recommends Therapeutic Group Therapy for school children can be carried out in the health service setting in the community as a form of mental health nursing services for school-age children and families by involving mental health cadres and teachers, to optimize the development of the school children industry.
Effects of wind on the movement, behavior, energetics, and life history of seabirds
Authors: Thorne LH , Clay TA , Phillips RA , Silvers LG , Wakefield ED
Published: August 2023

For decades, studies have highlighted links between wind patterns and the behavior, ecology, distribution, energetics and life history of seabirds. However, only relatively recently have advancements in tracking technologies and improvements in the resolution of globally-available wind data allowed wind impacts on seabirds to be quantified across multiple spatiotemporal scales. Here, we review and synthesize current knowledge of the effects of wind on seabirds. We first describe global patterns of wind circulation and relevant atmospheric processes and discuss the relationship between seabird morphology, flight performance and behavior relative to wind. We then develop a conceptual model linking seabird movement strategies to wind, morphology, flight capabilities and central-place constraint. Finally, we examine how wind influences seabird populations via effects on flight efficiency and energetics, and wind impacts associated with climate variability and severe weather. We conclude by highlighting research priorities for advancing our understanding of the effects of wind on seabird ecology and behavior; these include assessing how and to what extent seabirds use ocean waves for efficient flight, understanding how seabirds sense and anticipate wind patterns, and examining how wind has shaped seabird evolution. Future research should also focus on assessing how wind modulates habitat accessibility, and how this knowledge could be incorporated into theory of seabird habitat use. Moreover, approaches that focus on mechanistic links between climate, wind and demography are needed to assess population-level effects, and will be imperative to understanding how seabirds may be impacted by climate-driven changes to wind patterns.
Identification of Anthocyanidins in Anthocyanin Extract of Purple Sweet Potato (Ipomoea batatas l), black rice (Oryza sativa l), and Black Glutinous rice (Oryza sativa v. glutinosa)
Authors: Sumartini Sumartini
Published: August 2023

Anthocyanins originating from different commodities have different constituent components and anthocyanidin levels. This will undoubtedly affect the anthocyanin content of total in foodstuffs. Local items such as; Purple sweet potato, black rice, and black glutinous rice have different structural components and levels of anthocyanidins. The research objective was to measure the total anthocyanin content and identify anthocyanidins qualitatively and quantitatively from anthocyanin extracts of purple sweet potato, black rice, and black glutinous rice. The research method used was an experimental method , qualitative and quantitative identification analyses were carried out using the UHPLC-PDA (Ultra high Performance Liquid Chromatographic) instrument system. Based on the study with pH-difference measurements, the total anthocyanin extract in purple sweet potato is 0.6 mg / g of material, much lower than black rice (5.50 mg / g of material) and black glutinous rice (6.00 mg / g of material). g material). Based on the identification of the purple sweet potato anthocyanin extract, the main components of anthocyanidins were Delfinidin, Cyanidin, and Malvidin with concentrations of 0.12 mg, 0.12 mg, and 1.20mg / 100g of ingredients, respectively. Meanwhile, black rice and black glutinous rice were identified with cyanidine and malvidin with concentrations of 0.73 and 13.17 mg / 100g and 1.07 mg and 17.6 mg / 100g of ingredients.
Web Phishing Classification using Combined Machine Learning Methods
Authors: Waseso Bambang Mahardhika Poerbo , Setiyanto Noor Ageng
Published: August 2023

Phishing is a crime that uses social engineering techniques, both in deceptive statements and technically, to steal consumers' personal identification data and financial account credentials. With the new Phishing machine learning approach, websites can be recognized in real-time. K-Nearest Neighbor(KNN) and Naïve Bayes (NB) are popular machine learning approaches. KNN and NB have their own strengths and weaknesses. By combining the two, deficiencies can be covered. So this study proposes to combine K-Nearest Neighbor with Naïve Bayes to classify phishing websites. Based on the results of the accuracy test of the combination of KNN with k=8 and Naïve Bayes, a maximum accuracy of 93.44% is produced. This result is 6.25% superior compared to using only one classifier.
Confronting Misinformation in the Civics Classroom
Authors: Owen Diana
Published: August 2023

Elementary and secondary school civics, social studies, and American government teachers routinely confront misinformation in their classrooms from a range of sources. The rise in the use of digital tools in civics classes during the pandemic coincided with an increase in the amount of misinformation teachers regularly encountered. While facilitating broad access to content and discussion is a major benefit of digital tools, they also can open gateways to misinformation. This study examines whether there is a connection between pedagogies that employ digital tools and teachers’ experience with misinformation in elementary and secondary school classrooms. The core research questions addressed are: Is the amount of misinformation teachers encounter in the classroom associated with their use of digital tools for instruction? And are differences in how much misinformation teachers encounter related to the types of digital tools they use?
In vitro assembly of the trehalose bi-enzyme complex with artificial scaffold protein
Authors: Wang Xiangyi , Jiang Yi , Liu Hongling , Zhang Xinyi , Yuan Haibo , Huang Di , Wang Tengfei
Published: August 2023

Introduction: Trehalose is a significant rare sugar known for its stable properties and ability to protect biomolecules from environmental factors.

Methods: In this study, we present a novel approach utilizing a scaffold protein-mediated assembly method for the formation of a trehalose bi-enzyme complex. This complex consists of maltooligosyltrehalose synthase (MTSase) and maltooligosyltrehalose trehalohydrolase (MTHase), which work in tandem to catalyze the substrate and enhance the overall catalytic efficiency. Utilizing the specific interaction between cohesin and dockerin, this study presents the implementation of an assembly, an analysis of its efficiency, and an exploration of strategies to enhance enzyme utilization through the construction of a bi-enzyme complex under optimal conditions in vitro.

Results and Discussion: The bi-enzyme complex demonstrated a trehalose production level 1.5 times higher than that of the free enzyme mixture at 40 h, with a sustained upward trend. Compared to free enzyme mixtures, the adoption of a scaffold protein-mediated bi-enzyme complex may improve cascade reactions and catalytic effects, thus presenting promising prospects.
The impact of concurrent bacterial lung infection on immunotherapy in patients with non-small cell lung cancer: a retrospective cohort study
Authors: Cao Qiang , Wu Xinyan , Chen Yuquan , Wei Qi , You Yanwei , Qiang Yi , Cao Guangzhu
Published: August 2023

Objective

To find out how bacterial lung infections (BLI) affect the effectiveness of therapy and the rate of pneumonia caused by pneumonia related to checkpoint inhibitors (CIP) in patients with non-small cell lung cancer (NSCLC) who are getting immunotherapy with checkpoint inhibitors (ICIs).

Patients and methods

507 NSCLC patients who received at least two ICI treatments between June 2020 and December 2022 at the Affiliated Hospital of Kunming University of Science and Technology(AHKUST) were included in a retrospective cohort study. Based on whether there was a concurrent BLI diagnosis from high-resolution CT scans of the chest, the patients were divided into two groups: 238 in the NSCLC with BLI group (NSCLC-BLI group), and 269 in the NSCLC alone group. The collected therapeutic outcome measures included the objective response rate (ORR), progression-free survival (PFS), overall survival (OS), and the incidence rate of CIP. We analyzed the effect of BLI on the therapeutic efficacy of ICI treatment and the incidence rate of CIP in NSCLC patients.Inclusion criteria based on NSCLC patients staged I to IV according to the 8th edition of the International Association for Lung Cancer Research (IASLC)

Results

The NSCLC-BLI group showed superior ORR to the NSCLC group when treated with ICIs. Multifactorial logistic regression and Cox analyses, adjusted for confounders, identified BLI as an independent positive prognostic factor for ORR (HR=0.482, 95%CI: 0.391-0.550; P<0.001) and PFS (HR=0.619; 95%CI: 0.551-0.771; P<0.001). No correlation between BLI and OS was found. Out of 26 cases of CIP, 12 were in the NSCLC-BLI group and 14 in the NSCLC group, with no significant difference in incidence (P=0.145).

Conclusion

NSCLC patients with BLI receiving ICI treatment show superior ORR and PFS compared to NSCLC alone without an increased CIP risk, positioning BLI as a predictive factor for improved outcomes in NSCLC patients receiving ICIs. However, the study has limitations including its retrospective nature and lacking data on BLI bacteria types and levels, which could influence therapy outcomes.
Map vector tile construction for arable land spatial connectivity analysis based on the Hadoop cloud platform
Authors: Ma Shengting , Zhang Shanshan
Published: August 2023

The concentrated connection of arable land is one of the important indicators reflecting the quality of cultivated land, and large-scale arable land blocks are more conducive to agricultural mechanization operation, thereby improving the land use efficiency. However, the calculation of farmland connectivity is essentially a large-scale calculation of spatial vector data, especially for the national or global farmland patch data. This article proposes a framework for calculating farmland connectivity based on spatial vector map tiles and parallelizes the algorithm based on the Hadoop cloud platform. The framework is based on the tile pyramid model and uses the Douglas–Peucker algorithm to simplify the data to meet the needs of rapid display of large-scale data under multi-scale. The consistency and integrity of the front display of vector tiles are ensured using the setting tile buffer. Meanwhile, the parallelization of the vector tile construction algorithm is realized based on the MapReduce programming mode. Finally, the effectiveness and usability of this framework were verified through the calculation of patch connectivity on the tillage map. Experiments show that the algorithm can not only meet the rapid construction requirements of large-scale vector tile data but also support the cultivated land spatial connectivity analysis and greatly improve the efficiency of supporting data calculation.
Taking the lead for campus-community-partnerships in Austria
Authors: Fahrenwald Claudia , Resch Katharina , Rameder Paul , Fellner Magdalena , Slepcevic-Zach Peter , Knapp Mariella
Published: August 2023

Higher education institutions (HEIs) have been going through far-reaching processes of transformation in terms of their missions in teaching, research, and societal impact. Contrary to their previous understanding and mission, Austrian universities are now increasingly required to contribute evidence from research and teaching to meet social challenges and to cooperate with community partners. This forces an understanding of HEIs as a driver for social innovation and requires educational leadership on multiple levels. Overall, campus community partnerships (CCPs) emerge as a dimension of a new culture of cooperation between HEIs and civil society which includes individual, organizational and inter-organizational learning. As, CCPs basically depend on the individual efforts, ambitions and networks of faculty members and educators we raise the questions, (1) who takes the lead for their initiation and maintenance, and (2) to which degree these partnerships have been institutionalized and supported so far. These questions are discussed in the framework of their significance for educational leadership for the establishment of suitable framework conditions for the promotion of social innovation for CCPs. These questions are particularly of interest for the German speaking countries like Austria, since CCPs in this context still have little tradition across the higher education sector. In this brief research report, results from a recent survey (2022;N = 107) concerning the initiation, support structures and formalization of CCPs in Austrian HEIs are presented, and conclusions for educational leadership principles for CCPs are discussed.
Factor structure and invariance of the scale to measure teaching performance in the area of social sciences
Authors: Henríquez Patricio Sebastián , Pérez-Morán Juan Carlos , del Cid García Carlos Javier , Zamora Jesús Enrique
Published: August 2023

The use of scales to evaluate teaching from the students’ perspective is a method frequently used in educational systems around the world. The objective of this study is to analyze the factorial structure of the Teaching Performance Evaluation Scale (EEDDocente, by acronyms in Spanish) designed with the purpose of providing information that favors decision-making based on evidence for the improvement of teaching in the area of Social Sciences, as well as measuring the invariance by School stage and Educational Program. The sample consisted of 1,849 students of the Bachelor’s Degrees in Law, Psychology, Accounting, Administration, Education Sciences, Communication Sciences, Computer Science, and Sociology of the School of Social and Administrative Sciences (FCAyS) of the Autonomous University of Baja California, Mexico. Based on a three-factor model that meets the fit and quality criteria, a Multi-group Confirmatory Factor Analysis (MGCFA) was performed to measure the invariance of the EEDDocente by School stage and Educational program. It is concluded that the three-factor model can be used to measure, from the students’ perspective, the performance of teachers in the Area of Social Sciences. Likewise, it is concluded that the invariance of the simultaneous measurement is achieved, providing evidence to perform mean difference analysis between the different Educational programs.
The causal relationship between autoimmune diseases and osteoporosis: a study based on Mendelian randomization
Authors: Wu Shaofeng , Ye Zhen , Yan Yi , Zhan Xinli , Ren Liang , Zhou Chenxing , Chen Tianyou , Yao Yuanlin , Zhu Jichong , Wu Siling , Ma Fengzhi , Liu Lu , Fan Binguang , Liu Chong
Published: August 2023

Objective

The relationship between different autoimmune diseases and bone mineral density (BMD) and fractures has been reported in epidemiological studies. This study aimed to explore the causal relationship between autoimmune diseases and BMD, falls, and fractures using Mendelian randomization (MR).

Methods

The instrumental variables were selected from the aggregated statistical data of these diseases from the largest genome-wide association study in Europe. Specifically, 12 common autoimmune diseases were selected as exposure. Outcome variables included BMD, falls, and fractures. Multiple analysis methods were utilized to comprehensively evaluate the causal relationship between autoimmune diseases and BMD, falls, and fractures. Additionally, sensitivity analyses, including Cochran’s Q test, MR-Egger intercept test, and one analysis, were conducted to verify the result’s reliability.

Results

Strong evidence was provided in the results of the negatively association of ulcerative colitis (UC) with forearm BMD. UC also had a negatively association with the total body BMD, while inflammatory bowel disease (IBD) depicted a negatively association with the total body BMD at the age of 45–60 years. Horizontal pleiotropy or heterogeneity was not detected through sensitivity analysis, indicating that the causal estimation was reliable.

Conclusion

This study shows a negative causal relationship between UC and forearm and total body BMD, and between IBD and total body BMD at the age of 45–60 years. These results should be considered in future research and when public health measures and osteoporosis prevention strategies are formulated.