bluuebunny/crossref_metadata_2025 huggingface dataset:
Robust Blind Watermarking Technique Against Geometric Attacks for Fingerprint Image Using DTCWT-DCT
Authors: Lebcir Mohamed , Awang Suryanti , Benziane Ali
Published: October 2020

In this research paper, a new blind and robust fingerprint image watermarking scheme based on a combination of dual-tree complex wavelet transform (DTCWT) and discrete cosine transform (DCT) domains is demonstrated. The major concern is to afford a solution in reducing the consequence of geometric attacks. It is due to the fingerprint features that may be impacted by the incorporated watermark, fingerprint rotations, and displacements that result in multiple feature sets. To integrate the bits of the watermark sequence into a differential process, two DCT-transformed sub-vectors are implemented. The initial sub-vectors were obtained by sub-sampling in the host fingerprint image of both real and imaginary parts of the DTCWT wavelet coefficients. The basic difference between the relevant sub-vectors of the watermarked fingerprint image in the extraction stage directly provides the inserted watermark sequence. It is not necessary to extract watermark data from an original fingerprint image. Therefore, the technique suggested is evaluated using 80 fingerprint images from 10 persons, from both CASIA-V5-DB and FVC2002-DB2 fingerprint database. For each person, eight fingerprints are set as the template and the watermark are inserted in each image. A comparison between the obtained results with other geometric robust techniques results is performed afterwards. The comparison results show that the proposed technique has stronger robustness against common image processing processes and geometric attacks such as cropping, resizing, and rotation.
Jurnalisme Damai dalam Pembingkaian Berita Rasisme Mahasiswa Papua di Tribunnews.com dan Detik.com
Authors: Alam Sukma
Published: October 2020

Penelitian ini meneliti kasus rasisme terhadap mahasiswa Papua di Surabaya. Mahasiswa Papua dipersekusi oleh ormas dan warga sekitar karena diduga merusak bendera merah putih. Aparat keamanan ikut menjaga situasi justru diduga berujar rasis terhadap mahasiswa Papua hingga situasi nasional panas khususnya di daerah Papua dan Papua Barat. Tentu media tidak luput dari peristiwa tersebut untuk menentukan sikap dalam sebuah berita. Jika berita tidak mempertimbangkan penyelesaian konflik atau memperkeruh situasi menjadi panas maka di sinilah muncul jurnalisme damai (peace journalisme) sebagai wadah perdamaian dan berakhirnya konflik. Penelitian ini bertujuan, pertaa, untuk mengetahui framing tribunnews.com dan detik.com dalam berita kasus rasisme terhadap mahasiswa Papua, dan kedua mengetahui jurnalisme damai dalam berita tribunnews.com dan detik.com terkait kasus rasisme terhadap mahasiswa Papua. Hasilnya, frame tribunnews.com dan detik.com sama-sama meletakan mahasiswa Papua sebagai korban rasisme dan tidak bersalah. Sementara praktik jurnalisme damai bagi tribunnews.com selalu berusaha menyampaikan keadilan bagi mahasiswa Papua untuk menyelesaikan permasalahan tersebut. Sedangkan detik.com berusaha menyampaikan rekonsiliasi bahwa ujaran rasisme menyangkut bangsa Indonesia.
Makna Edukasi Seksual bagi Remaja pada Film "Dua Garis Biru"
Authors: Dasuki Ira
Published: October 2020

Film merupakan salah satu media massa yang paling berperan dalam menggambarkan suatu realitas sosial yang ditayangkan, kemudian pesan dari isi cerita sebuah film dapat diterima dengan baik oleh penonton. Perkembangan film yang bertemakan remaja, semakin beragam dalam membangun suatu cerita yang menarik, semakin berani mengangkat topik-topik yang sebelumnya dianggap tabu, seperti edukasi seksual. Salah satunya adalah film “Dua Garis Biru” yang membahas tentang bagaimana remaja perempuan pelaku seks pranikah dikemukakan dalam film drama remaja dengan tujuan untuk menyampaikan makna edukasi seksual melalui tokoh Dara dalam film tersebut. Metode yang digunakan adalah analisis wacana model Teun Van Dijk. Hasil penelitian yang ditemukan adalah bahwa setiap remaja perlu mengetahui dan memahami tentang pendidikan seksual sehingga tidak terjadi hal-hal yang tidak diinginkan. Bentuk penyimpangan seksual memang beragam, namun film ini membahas kepada kehamilan pranikah.
Kompetensi Wartawan dalam Liputan Anak yang Berhadapan dengan Hukum
Authors: Sahputra Dedi
Published: October 2020

Hak-hak anak yang berhadapan dengan hukum secara khusus diatur dalam Undang-Undang No. 11 Tahun 2012 tentang Sistem Peradilan Pidana Anak, dan Pedoman Pemberitaan Ramah Anak yang diterbitkan Dewan Pers sebagai panduan bagi wartawan dalam menjalankan peliputan anak. Dewan Pers juga melakukan uji kompetensi bagi wartawan dengan materi uji antara lain pemahaman wartawan dalam menghasilkan karya jurnalistik yang tidak melanggar hak-hak anak yang berhadapan dengan hukum. Permasalahan dalam penelitian ini adalah bagaimana Uji Kompetensi Wartawan dapat meningkatkan pemahaman dan ketrampilan wartawan dalam menghasilkan karya jurnalistik yang melindungi hak-hak anak yang berhadapan dengan hukum. Pendekatan studi ini menggunakan kualitatif deskriptif yang dilakukan dengan mengumpulkan dan menganalisis berbagai informasi terkait dengan permasalahan yang dibahas. Temuan penelitian menunjukkan, pelaksanaan Uji Kompetensi Wartawan menambah pemahaman dan ketrampilan wartawan dalam menghasilkan karya jurnalistik dalam melindungi hak-hak anak yang berhadapan dengan hukum.
Strategi Komunikasi Pemasaran Doktorandus Koffie dalam Menarik Minat Konsumen Penikmat Kopi
Authors: Hadi Dicky Fajar Purwa
Published: October 2020

Budaya  minum  kopi  yang  awalnya  berasal  dari  barat  muncul sebagai salah satu   kebutuhan   yang   tidak   terlepaskan   dalam kehidupan  banyak  orang  terutama  para  pencinta  kopi.  Meningkatnya permintaan  terhadap  kopi,  memancing  munculnya berbagai brand  dan  kedai-kedai kopi di sekitar masyarakat. Pengunjung kedai-kedai ini pun tidaklah sedikit,  begitu  pula  dengan  keuntungan  yang  didapat  oleh  produsen. Metode dasar yang digunakan dalam penelitian ini adalah metode deskriptif kualitatif. Lokasi penelitian ini secara purposive mengambil studi kasus di Doktorandus Koffie yang sudah menggunakan beberapa kegiatan komunikasi pemasaran terpadu. Sumber data pada penelitian ini adalah narasumber, dan observasi lapangan. Peneliti mengumpulkan data menggunakan teknik wawancara, pencatatan, dan dokumentasi. Teknik analisis data dalam penelitian ini menggunakan model analisis interaktif yang terdiri dari tiga komponen pokok yaitu reduksi data, sajian data, dan penarikan kesimpulan dengan verifikasinya untuk mengetahui masing-masing kegiatan Integrated Marketing Communication yang dilakukan oleh Doktorandus Koffie. Hasil penelitian menunjukkan bahwa kegiatan komunikasi pemasaran yang dilakukan oleh Doktorandus Koffie merupakan kegiatan yang saling berhubungan dan saling mendukung untuk menginformasikan Doktorandus Koffie kepada para konsumen dan menarik minat konsumen.
IMPLEMENTASI MODEL PjBL-STEM UNTUK MENINGKATKAN KETERAMPILAN BERPIKIR TINGKAT TINGGI
Authors: Fitriyani Ade , Toto Toto , Erlin Euis
Published: October 2020

Tujuan penelitian ini adalah untuk mengetahui pengaruh penerapan model PjBL-STEM terhadap keterampilan berpikir tingkat tinggi siswa. Sampel penelitian pada penelitian ini adalah siswa kelas IX SMP berjumlah 26 orang yang diambil dengan teknik purposive sampling. Metode penelitian yang digunakan adalah Quasi Eksperimen dengan disain The-One Group Pretest-Posttest . Teknik pengambilan data dilakukan melalui pretest dan posttest. Instrumen penelitian berupa soal keterampilan berpikir tingkat tinggi yang meliputi analisis, evaluasi, dan mencipta dalam bentuk uraian [u1] Data hasil penelitian dianalisis secara statistik yang meliputi uji N-Gain, uji normalitas, dan uji hipotesis (uji Z). Hasil perhitungan uji hipotesis dengan menggunakan uji Z diperoleh hasil    yang menunjukkan bahwa hipotesis diterima, Hasil penelitian dapat disimpulkan bahwa terdapat pengaruh yang sangat signifikan penerapan model PjBL-STEM terhadap peningkatan keterampilan berpikir tingkat tinggi siswa pada materi bioteknologi. Hasil penelitian ini dapat digunakan untuk meningkatkan keterampilan berpikir tingkat tinggi siswa dalam pembelajaran IPA khususnya pada materi bioteknologi.Kata kunci : PjBL, STEM, Keterampilan Berpikir Tingkat Tinggi.
FAKTOR-FAKTOR YANG MEMPENGARUHI MOTIVASI BELAJAR IPA SISWA SMP BERBASIS PESANTREN
Authors: Rubiana Euis Pipieh , Dadi Dadi
Published: October 2020

Penelitian ini dilaksanakan untuk mengetahui faktor-faktor apa saja yang mempengaruhi motivasi belajar IPA siswa SMP berbasis pesantren. Penelitian ini dilaksanakan mulai dari tanggal 12 - 17 Mei 2014 di SMP Islam Terpadu Miftahul Huda II Kecamatan Jatinagara Kabupaten Ciamis. Populasi penelitian ini adalah seluruh siswa kelas VIII tahun pelajaran 2013/2014. Metode yang digunakan dalam penelitian ini adalah deskriptif eksploratif dengan sampel yang diambil dengan teknik proportional random sampling. Data penelitian diambil dengan menyebar angket dengan 18 item pernyataan disertai wawancara secara mendalam kepada siswa sampel terpilih. Data yang diperoleh kemudian diolah dengan pendekatan kuantitatif menggunakan statistik deskriptif. Berdasarkan hasil penelitian dapat disimpulkan faktor-faktor yang mempengaruhi motivasi belajar IPA terdiri dari faktor intrinsik yang terdiri kebutuhan, harapan, cita-cita siswa dan faktor ekstrinsik yang terdiri dari penghargaan dan kondisi lingkungan. Sedangkan faktor-faktor yang tidak mempengaruhi motivasi belajar IPA antara lain minat dan kemampuan (intrinsik), dorongan keluarga dan kondisi sekolah (ekstrinsik). Kata kunci: motivasi belajar, faktor intrinsik, faktor ekstrinsik, pesantren
Progression of Strength, Flexibility, and Palpation Pain During Rehabilitation of Athletes With Acute Adductor Injuries: A Prospective Cohort Study
Authors: Serner Andreas , Hölmich Per , Tol Johannes L. , Thorborg Kristian , Lanzinger Sean , Otten Roald , Whiteley Rodney , Weir Adam
Published: October 2020

Objective

To investigate the relationship between repeated clinical measures and the progression of rehabilitation of male athletes with acute adductor injuries.

Design

Prospective observational cohort study.

Methods

Male athletes with acute adductor injuries received a standardized criteria-based rehabilitation program with 4 repeated clinical measures during rehabilitation: the extent of palpation pain (length and width in centimeters), the bent-knee fall-out test (BKFO; in centimeters), hip abduction range of motion (in degrees), and eccentric hip adduction strength (in Newton meters per kilogram). We analyzed the association between each clinical measure and the percent progression of rehabilitation until return to sport (RTS), divided into 2 RTS milestones: (1) clinically pain free, and (2) completion of controlled sports training.

Results

The analyses included 61 male athletes for RTS milestone 1 and 50 athletes for RTS milestone 2, and 381 to 675 tests were performed for each clinical measure. The median time to RTS milestones 1 and 2 was 15 days (interquartile range, 12–29 days) and 24 days (interquartile range, 16–34 days), respectively. Each repeated clinical measure individually explained 13% to 36% of the variance in rehabilitation progression to the RTS milestones. The extent of palpation pain explained the highest variance of the progression of rehabilitation (R2 = 0.26–0.27 for length and R2 = 0.36 for width, P<.001). Eccentric adduction strength (R2 = 0.19–0.27, P<.001) improved throughout rehabilitation, whereas the flexibility tests (BKFO, R2 = 0.13–0.15; P<.001 and hip abduction range of motion, R2 = 0.19–0.21; P<.001) returned to normal values early in rehabilitation.

Conclusion

Repeated measures of adductor strength, flexibility, and palpation pain provided only a rough impression of rehabilitation progress following acute adductor injuries in male athletes. These clinical measures cannot define a precise recovery point during rehabilitation. J Orthop Sports Phys Ther 2021;51(3):126–134. Epub 28 Oct 2020. doi:10.2519/jospt.2021.9951
Paradox of White Collar Crime and Fraud in Banking: Critical Analysis of Agency Theory and Gone Theory
Authors: Shonhadji Nanang
Published: October 2020

ABSTRACTThis study aims to criticize the causal relationship between agency theory and GONE theory with Habermas's radical humanist paradigm. Qualitative research methods and in-depth interviews with informants were used in this study. The results of the study inform that agents can be free from pragmatic agency theory through three forms of exemption. The first liberation proposed is to reduce one's greediness. The second release was carried out through an ethical and moral customer due diligence program. The liberation of the third form aims to reduce the rationality of economic relations that tend to prioritize the needs of individuals.ABSTRAKPenelitian ini bertujuan untuk mengkritisi hubungan kausalitas antara agency theory dan GONE theory dengan paradigma radical humanis Habermas. Metode penelitiaan kualitatif dan wawancara mendalam dengan informan digunakan dalam penelitian ini. Hasil penelitian menginformasikan bahwa agent dapat terbebaskan dari penerapan agency theory yang bersifat pragmatis melalui tiga bentuk pembebasan. Pembebasan pertama yang diusulkan adalah mereduksi sifat serakah pada diri seseorang. Pembebasan bentuk kedua dilakukan melalui program customer due diligence yang beretika dan bermoral. Pembebasan bentuk ketiga bertujuan untuk mereduksi adanya rasionalitas hubungan ekonomi yang cenderung mementingkan kebutuhan individu.
"No Innovation Without Cooperation" – How Switzerland Innovation Promotes Cooperation Between Industry, Research and Startups
Authors: Tschanz Raphaël , Tamburello Valentina , Roeoesli Claudia , Müller Nina , Mitchell Isabelle , Kalt René , Jordan Martin , Hiroz Vincent , Delgado Leonildo , Cristo Stéphanie , Tauber Svantje
Published: October 2020

Switzerland Innovation, the Swiss innovation park with its five branches, is facilitating collaborations for companies, startups, and universities to find solutions to some of the world's most pressing challenges in the fields of health and the life sciences, in particular in the areas
of chemistry, biochemistry, biomedicine, biotech, medtech and digital health. Together with its numerous and diverse partners, Switzerland Innovation creates an ecosystem for universities and research-based companies, accelerating the transformation of research results into marketable products
and services.
How Innosuisse is Supporting Entrepreneurs to Launch and Grow their Startup Business
Authors: Krienbuehl Lukas
Published: October 2020

Switzerland has a dynamic startup ecosystem, especially in the life sciences sector. For over a decade, the figures have shown growth in the number of startups being incorporated. Yet transforming an innovative idea or research results into strong products on the market and making a
company grow is a challenging endeavour. Innosuisse – the Swiss Innovation Agency fosters the innovative power of startups, Swiss SMEs and other innovative organisations by providing support, therefore ensuring that they remain internationally competitive in the digital age. For science
and technology-based startups, Innosuisse offers a number of targeted programmes.
Swiss Startup Framework: A Highly Effective Network Supporting the Generation of Emerging Biotech Businesses
Authors: Mitchell Isabelle , Steiner Stefan , Altorfer Michael , Suter-Dick Laura
Published: October 2020

For over 50 years, Switzerland has been one of the leading countries driving innovation in biotechnology and its industrial applications. Today, some 1,000 biotech companies form a tightly knit, cross-functional network ranging from research through to manufacturing. This network comprises
R&D companies, contract research organizations, and highly specialized advisors and biotech investors. Together, they form an external innovation pool that complements the in-house R&D capacity of the large multi-national pharma companies. A highly effective startup framework, solid
acceleration mechanisms, and innovative investors enable the emergence of a continuous flow of biotech startups that revitalize the industry with new technologies and products supporting drug development and diagnostics.
The 'Holy Grail' in Immuno-Oncology: AC BioScience SA is Aiming to Potentiate Anti-PD-1 Therapy Efficacy through Tumor Cell Conditioning Strategy
Authors: Schläpfer Andreas , Auclair Christian , Janji Bassam , Karam Manale , Zaeem Noman Muhammad
Published: October 2020

AC BioScience is a Swiss biotech company based at the EPFL Innovation Park and Biopôle, dedicated to developing groundbreaking therapies to fight a range of cancers and infectious diseases. We are about to start clinical trials with two of four leading-edge cancer drugs mainly
focusing on immune-oncology and tumor vascular normalization with multi-billion $ sales potential. Here, we present our strategy and one of our pioneering drug candidates that has already shown exceptional results with tumor cell conditioning to improve the efficacy of immune checkpoint
inhibitors.
L-tert-Leucin als Konstitutionsisomer der proteino-genen Aminosäuren L-Leucin und L-Isoleucin: Herstellung sowie Vorkommen in Naturstoffen und als Baustein in Pharmaka
Authors: Vock Carsten A.
Published: October 2020

L-tert-Leucin wird mit wichtigen Zusatzinformationen zu Herstellung, Vorkommen und Verwendung als Konstitutionsisomer der proteinogenen Aminosäuren L-Leucin und L-Isoleucin vorgestellt.
Eine Schumann-Werkstatt? Zur Übertragbarkeit der Methoden vom Projekt »Beethovens Werkstatt« auf andere Komponisten
Authors: Novara Elisa
Published: October 2020

The research project “Beethovens Werkstatt” is intended as a contribution to basic musicological research. Methods, concepts and digital components developed in this project using the example of Beethoven are meant to be transferable to other composers. In my paper, I choose Robert Schumann as an example to test this transferability. Concepts that were developed in the course of the first module of “Beethovens Werkstatt” aim at the reconstruction and digital representation of genetic variants. They are based on research on the composer’s work processes. Fundamental aspects of this research include, for example, the temporality of the writing process; the composer’s self-critical dialogue with what he has already written; the work routines that may lie behind it (can certain compositional strategies be derived from them?). These questions are not only specific to Beethoven. They can generally be asked in connection with other composers. However, a prerequisite for an insightful research is a good record of handwritten texts and manuscripts. Due to the rich source material and Schumann’s habit of documenting many details in his diaries and working manuscripts, a text-genetic and digital analysis of his working methods is particularly suitable.
Kollaborateure – Involvierte – Profiteure. Erarbeitung eines Online-Lexikons zur Musik in der NS-Zeit
Authors: Oancea Theodora , Pollmann Joachim , Spieker Jonas
Published: October 2020

Since 2018 a group of musicology students at the Department of musicology of the University of Paderborn and the University of Music Detmold has been developing an online database called Kollaborateure – Involvierte – Profiteure. Musik in der NS-Zeit. Integral part of this database are articles on musicians, composers, employees in ministries and organisations affiliated to the party, musicologists, music editors and publishers from the Nazi era. In addition to the source-based biographical key data, the prosography focuses on the current research situation related to the respective person, a detailed description of the networks in the denazification processes and presents comprehensive lists of all writings, musical works, speeches and a list of his or her memberships. In future, further authors are to be won over to the project in order to create new articles or to update existing ones.
Musikalische Innovation im Umfeld der Moderne und historischen Avantgarde in Ungarn
Authors: van der Smissen Andrea
Published: October 2020

In recent decades the interpretation of music history of the interwar period was determined by factors which allowed only national or folkloristic approaches to modern music in Hungary. However, the composers of the group ‘Modern Hungarian Musicians’, connected to the forums of the New Music like the ISCM or Cowell‘s NMS, were committed to a transcultural view of musical innovation. Through intermedial connections between literary and fine art, they received non-musical impulses by modern and avantgarde movements. This paper makes an approach on their heterogeneous conception of music with the common sense, to set a renewal of the musical language as its goal.
Self Assembly of Model Polymers into Biological Random Networks
Authors: Bailey Matthew , Wilson Mark
Published: October 2020

The properties of biological networks, such as those found in the ocular lens capsule, are difficult to study without simplified models.Model polymers are developed, inspired by "worm-like'' curve models, that are shown to spontaneously self assembleto form networks similar to those observed experimentally in biological systems.These highly simplified coarse-grained models allow the self assembly process to be studied on near-realistic time-scales.Metrics are developed (using a polygon-based framework)which are useful for describing simulated networks and can also be applied to images of real networks.These metrics are used to show the range of control that the computational polymer model has over the networks, including the polygon structure and short range order.The structure of the simulated networks are compared to previous simulation work and microscope images of real networks. The network structure is shown to be a function of the interaction strengths, cooling rates and external pressure. In addition, "pre-tangled'' network structures are introduced and shown to significantly influence the subsequent network structure.The network structures obtained fit into a region of the network landscape effectively inaccessible to random(entropically-driven) networks but which are occupied by experimentally-derived configurations.
Anthocyanins from the Red Juvenile Leaves of Loropetalum Chinense var. rubrum (Chinese Fringe Flower) Identification and pH Sensing Behaviors
Authors: He Chengkun , Jiang Yufei , Fang Hongbao , Zhang Yujuan , Guo Zijian
Published: October 2020

In this study, anthocyanins were extracted from the frozen juvenile leaves of Loropetalum Chinense var. rubrum with high efficiency using ethanol containing 0.1% HCl as extractant. After being purified with AB-8 resin, this extract was investigated with HPLC-DAD-MS/MS determination, and six anthocyanins were identified according to chromatogram, MS data and ratios of absorbance at 400-460 nm to that at absorption maximum (~520 nm), A400-460/A520. Besides cyanidin 3-O-glucoside, peonidin 3-O-glucoside, malvidin 3-O-glucoside, the most abundant malvidin 3,5-O-diglucoside was confirmed through preparative HPLC separation and 1 H NMR determination. However, two delphinidin- and petunidin-derived anthocyanins should be further clarified whether they are 3,5-O-diglucoside or 5-O-glucobioside. In addition, a novel anthocyanin, 2H-pyran[5,6]malvidin 3-O-glucobioside was also proposed yet need more data to confirm. Moreover, malvidin 3,5-O-diglucoside showed excellent pH sensing ability, displaying distinct color change from pink (pH 1.5) to colorlessness (pH 5.5), to blue (pH 6.8) and finally green (pH 8.8 to pH 10.5). All these should be helpful to evaluate this plant as natural pigment resource.
Resolution of Low-Energy States in Spin-Exchange Transition-Metal Clusters: Case Study of Singlet States in [Fe(III)4S4] Cubanes
Authors: Li Manni Giovanni , Dobrautz Werner , Bogdanov Nikolay A. , Guther Kai , Alavi Ali
Published: October 2020

Polynuclear transition-metal (PNTM) clusters, ubiquitous in biological systems, owe their catalytic activity to the presence of a large manifold of low-lying spin states, and a number of stable oxidation states. The ab initio description of such systems - starting from the electronic Schrodinger equation - represents one of the greatest challenges of modern quantum chemistry, requiring highly multiconfigurational treatments. We propose a theoretical framework of simple and physically motivated molecular-orbital transformations that enable the resolution and characterization of targeted electronic wave functions with ease. This paradigm allows us to unravel the complicated electronic correlations in PNTM clusters. We apply it to two super-oxidized iron-sulfur cubane [Fe4S4] structures, and accurately characterize their singlet ground and low-lying excited states. Through direct access to their wave functions, we identify the important correlation mechanisms and their interplay with the geometrical distortions observed in these clusters. Our results unambiguously reveal a hidden magnetic order in the manifold of singlet states. Namely, that in all low-energy singlet states of the two compounds, well-defined spin structures are formed within two pairs of magnetic sites. For instance, in the ground state of one compound two iron sites of local S = 5/2 spins are strongly ferromagnetically correlated to form two S = 5 intermediate pair states; two such pairs are then anti-ferromagnetically coupled to yield an overall singlet. In the five excited singlets, the spin of these hidden pair-states is reduced in steps to zero. We find that the ab initio results for these compounds can be mapped with high fidelity onto a four-site Heisenberg–Dirac–van Vleck Hamiltonian with two anti-ferromagnetic coupling constants. Thus, the complexes are intrinsically frustrated anti-ferromagnets, and the obtained spin structures, together with the geometrical distortions represent two possible ways to release spin frustration. The geometrical distortions may be seen as the result of a spin-driven Jahn-Teller distortion, that lifts the electronic ground state degeneracies. Our paradigm provides a simple yet rigorous wave function-based route to uncover the electronic structure of PNTM clusters, and may be applied to a wide variety of such clusters.
Operation of Calcium-Birnessite Water-Oxidation Anodes: Interactions of the Catalyst with Phosphate Buffer Anions
Authors: Ronge Emanuel , Ohms Jonas , Roddatis Vladimir , Jones Travis , Sulzmann Frederic , Knop-Gericke Axel , Schlögl Robert , Kurz Philipp , Jooß Christian , Skorupska Katarzyna
Published: October 2020

Investigating the interfaces between electrolytes and electrocatalysts during electrochemical water oxidation is of tremendous importance for an understanding of the factors influencing catalytic activity and stability. Here, the interaction of a wellestablished, nanocrystalline and mesoporous Ca-birnessite catalyst material (initial composition K0.2Ca0.21MnO2.21·1.4 H2O, initial Mn-Oxidation state ~+3.8) with an aqueous potassium phosphate buffer electrolyte at pH 7 was studied by using various electron microscopy and spectroscopy techniques. In comparison to electrolyte solutions not containing phosphate, Ca-birnessite electrodes show especially high and stable oxygen evolution activity in phosphate buffer. During electrolysis, partial ion substitutions of Ca2+ by K + and OH- / O 2- by HnPO4 (3-n)- were observed, leading to the formation of a stable, partially disordered Ca-K-Mn-HnPO4-H2O layer on the outer and the pore surfaces of the electrocatalyst. In this surface layer, Mn(III) ions are stabilized, which are often assumed to be of key importance for oxygen evolution catalysis. Furthermore, evidence for the formation of [Ca/PO4/H2O]- complexes located between the [MnO6] layers of the birnessite was found using Ca 2p and Ca L-edge the soft X-ray synchrotron-based spectroscopy. A possible way to interpret the obviously very favorable, “special relationship” between (hydrogen)phosphates and Ca-birnessites in electrocatalytic water oxidation would be that HnPO4 (3-n)- anions are incorporated into the catalyst material where they act as stabilizing units for Mn3+ centers and also as “internal bases” for the protons released during the reaction.
Saturation Transfer Difference NMR Spectroscopy Using Glycopolymers
Authors: muzulu janet , Basu Amit
Published: October 2020

We report the use of Saturation Transfer Difference (STD) NMR spectroscopy to observe the interaction of various phenylboronic acids (PBAs) with synthetic glycopolymers presenting galactose and glucose. After optimizing experimental parameters to maximize spin diffusion, the binding of boronic acids to the glycopolymers was examined using STD NMR. Efficient amplification factor build-up curves which were used to generate an epitope map for the boronic acid binding to the glycopolymers. STD-NMR was also used to detect the interaction between indole and a galactosylated glycopolymer, providing an indole-based view of this C-H – π interaction.
Low Electronic Conductivity of Li7La3Zr2O12 (LLZO) Solid Electrolytes from First Principles
Authors: Squires Alex , Davies Daniel , Kim Sunghyun , Scanlon David , Walsh Aron , Morgan Benjamin
Published: October 2020

Lithium-rich garnets such as Li7 La3 Zr2 O12 (LLZO) are promising solid electrolytes with potential applications in all–solid-state lithium-ion batteries. The practical use of lithium-garnet electrolytes is currently limited by pervasive lithium-dendrite growth during battery cycling, which leads to short-circuiting and cell failure. One proposed mechanism for dendrite growth is the reduction of lithium ions to lithium metal within the electrolyte. Lithium garnets have been proposed to be susceptible to this growth mechanism due to high electronic conductivities [Han et al. Nature Ener. 4 187, 2019]. The electronic conductivities of LLZO and other lithium-garnet solid electrolytes, however, are not yet well characterised. Here, we present a general scheme for calculating the intrinsic electronic conductivity of a nominally-insulating material under variable synthesis and operating conditions from first principles, and apply this to the prototypical lithium-garnet LLZO. Our model predicts that under typical battery operating conditions, electron and hole carrier-concentrations in bulk LLZO are negligible, irrespective of initial synthesis conditions, and electron and hole mobilities are low (<1 cm2 V−1 s−1 ). These results suggest that the bulk electronic conductivity of LLZO is not sufficiently high to cause bulk lithium-dendrite formation during cell operation. Any non-negligible electronic conductivity in lithium garnets is therefore likely due to extended defects or surface contributions.
Gauge Dependence of the S Molecular Orbital Space Decomposition of Optical Rotation
Authors: Balduf Ty , Caricato Marco
Published: October 2020

Optical rotation (OR) is a foundational technique for the detection and characterization of chiral molecules, but it is poorly understood how the observed property relates to the structure of the molecule. Over the years, several schemes have been developed to de- compose the OR into more chemically intuitive contributions. In this paper, we introduce two alternative formulations of our previously developed S molecular orbital space decomposition. These new expressions use the Modified Velocity Gauge-Magnetic (MVG-M) and -Electric (MVG-E) definitions of OR, rather than the Length Gauge Magnetic (LG-M) definition used in the original paper. Comparing these formulations across a small set of previously studied chiral molecules, we find that these different definitions produce consistent physical interpretations of the OR. These results further confirm the robustness of the S methodology for the investigation of structure-property relationships in chiral molecules.
Age And Gender Predilection Of Habits And Oral Cancer Among An Outpatient Population Visiting A Dental Hospital
Authors: Anubhav Das  , Gheena S  , Ravindra Kumar Jain
Published: October 2020

Oral Squamous Cell Carcinoma (OSCC) is the most common neoplasm representing more than 80% of all oral cancer cases. Squamous cell carcinoma is defined as a “malignant epithelial neoplasm exhibiting squamous differentiation as characterized by the formation of keratin and/ or the presence of intercellular bridges”.Most of the epidemiological studies have revealed that heavy smoking and alcohol intake are the most important risk factors for oral cancer. Poor dental hygiene, accompanied by tooth loss, certain oncogenic viruses have been associated with an increased risk of cancer. The purpose of this study was to analyze the gender and age predilection of habits and oral cancer among an outpatient population visiting a dental college. This was a retrospective study (2019-2020) in which data on 34 Oral Squamous Cell Carcinoma(OSCC) were investigated. The patient records were reviewed and analysed between January 2019 and March 2020. All the 34 patient data were tabulated in excel, reviewed and was classified according to the border's grading system. Following which data was imported to SPSS software by IBM for descriptive statistical analysis and chi-square test was performed. A significant association between OSCC and age group (45-50 Years) was observed though it was statistically insignificant. (p value=0.64). Males have a higher incidence of OSCC compared to females in the same age group. A significant association is observed between Gutka, Smoking and pan chewing with OSCC. OSCC is the most commonly occurring oral cancer and there is a high predilection of the OSCC with age, gender and habits. Dentists play a key role in screening, detection and treatment of oral malignancies and can help in educating the public to bring about more awareness towards prevention of Oral Cancer.
Leishmania-infected macrophages release extracellular vesicles that can promote lesion development
Authors: Gioseffi Anna , Hamerly Tim , Van Kha , Zhang Naixin , Dinglasan Rhoel R , Yates Phillip A , Kima Peter E
Published: October 2020

Leishmania donovani infection of macrophages results in quantitative and qualitative changes in the protein profile of extracellular vesicles (EVs) released by the infected host cells. We confirmed mass spectrometry results orthogonally by performing Western blots for several Leishmania-infected macrophage-enriched EVs (LieEVs) molecules. Several host cell proteins in LieEVs have been implicated in promoting vascular changes in other systems. We also identified 59 parasite-derived proteins in LieEVs, including a putative L. donovani homolog of mammalian vasohibins (LdVash), which in mammals promotes angiogenesis. We developed a transgenic parasite that expressed an endogenously tagged LdVash/mNeonGreen (mNG) and confirmed that LdVash/mNG is indeed expressed in infected macrophages and in LieEVs. We further observed that LieEVs induce endothelial cells to release angiogenesis promoting mediators including IL-8, G-CSF/CSF-3, and VEGF-A. In addition, LieEVs induce epithelial cell migration and tube formation by endothelial cells in surrogate angiogenesis assays. Taken together, these studies show that Leishmania infection alters the composition of EVs from infected cells and suggest that LieEVs may play a role in the promotion of vascularization of Leishmania infections.
A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization
Authors: Sun Y , Xue Bing , Zhang Mengjie , Yen GG
Published: October 2020

© 1997-2012 IEEE. Convergence and diversity are interdependently handled during the evolutionary process by most existing many-objective evolutionary algorithms (MaOEAs). In such a design, the degraded performance of one would deteriorate the other, and only solutions with both are able to improve the performance of MaOEAs. Unfortunately, it is not easy to constantly maintain a population of solutions with both convergence and diversity. In this paper, an MaOEA based on two independent stages is proposed for effectively solving many-objective optimization problems (MaOPs), where the convergence and diversity are addressed in two independent and sequential stages. To achieve this, we first propose a nondominated dynamic weight aggregation method by using a genetic algorithm, which is capable of finding the Pareto-optimal solutions for MaOPs with concave, convex, linear and even mixed Pareto front shapes, and then these solutions are employed to learn the Pareto-optimal subspace for the convergence. Afterward, the diversity is addressed by solving a set of single-objective optimization problems with reference lines within the learned Pareto-optimal subspace. To evaluate the performance of the proposed algorithm, a series of experiments are conducted against six state-of-The-Art MaOEAs on benchmark test problems. The results show the significantly improved performance of the proposed algorithm over the peer competitors. In addition, the proposed algorithm can focus directly on a chosen part of the objective space if the preference area is known beforehand. Furthermore, the proposed algorithm can also be used to effectively find the nadir points.
People-Centric Evolutionary System for Dynamic Production Scheduling
Authors: Nguyen Su , Zhang Mengjie , Alahakoon Damminda , Tan Kay Chen
Published: October 2020

Evolving production scheduling heuristics is a challenging task because of the dynamic and complex production environments and the interdependency of multiple scheduling decisions. Different genetic programming (GP) methods have been developed for this task and achieved very encouraging results. However, these methods usually have trouble in discovering powerful and compact heuristics, especially for difficult problems. Moreover, there is no systematic approach for the decision makers to intervene and embed their knowledge and preferences in the evolutionary process. This article develops a novel people-centric evolutionary system for dynamic production scheduling. The two key components of the system are a new mapping technique to incrementally monitor the evolutionary process and a new adaptive surrogate model to improve the efficiency of GP. The experimental results with dynamic flexible job shop scheduling show that the proposed system outperforms the existing algorithms for evolving scheduling heuristics in terms of scheduling performance and heuristic sizes. The new system also allows the decision makers to interact on the fly and guide the evolution toward the desired solutions.
Evolving deep forest with automatic feature extraction for image classification using genetic programming
Authors: Bi Ying , Xue Bing , Zhang Mengjie
Published: October 2020

© Springer Nature Switzerland AG 2020. Deep forest is an alternative to deep neural networks to use multiple layers of random forests without back-propagation for solving various problems. In this study, we propose a genetic programming-based approach to automatically and simultaneously evolving effective structures of deep forest connections and extracting informative features for image classification. First, in the new approach we define two types of modules: forest modules and feature extraction modules. Second, an encoding strategy is developed to integrate forest modules and feature extraction modules into a tree and the search strategy is introduced to search for the best solution. With these designs, the proposed approach can automatically extract image features and find forests with effective structures simultaneously for image classification. The parameters in the forest can be dynamically determined during the learning process of the new approach. The results show that the new approach can achieve better performance on the datasets having a small number of training instances and competitive performance on the datasets having a large number of training instances. The analysis of evolved solutions shows that the proposed approach uses a smaller number of random forests over the deep forest method.
Innovation Opportunity for 5G Technologies: A Survey
Authors: Purbey Suniti
Published: October 2020

The “not withal formally defined” 5G commonplace leads to the consequence that its relevant technological innovation continues to be wide open. For distinctive innovations probability, we have a tendency to should discover the actual technical area to contribute to the technological development of 5G. This paper discusses a framework responsive the foremost question: inside that technological area one may contribute to the innovation? The answer shall profit countries, firms, universities and analysis institute that intends to contribute to the formulation of official 5G commonplace. First, we've got a bent to review the key technologies of fifth generation mobile communication technology (5G). Present and skill of the network unit main technical focus. A flat IP-based network thought was reviewed, additionally as psychological feature radio technology to reach the terminal that have AI. BDMA technology was planned to help achieving system efficiency in terms of multiple access system. Second, we've got a bent to familiar technological challenges, that specialise in issues} related to security and issues to have an effect on restricted frequency spectrum resources. Afterward, we've got a bent to map the innovation probability supported technical area that's recently unconcealed in analysis article. We’ve got a bent to terminated that innovation opportunities lies on the analysis about security, network, technological implementation and applications issues. Index Terms - 5G; innovation; normal
FORECASTING OF TEMPERATURE IN BANGLADESH BY USING SLICED FUNCTIONAL TIME SERIES (SFTS) APPROACH
Authors: AKTER BINA FARHANA
Published: October 2020

Climate is a paradigm of a complex system and its changes are global in nature. It is an exciting challenge to predict these changes over the period of different time scales. Time series analysis is one of the most important and major tools to analyze the climate time series data. Temperature is one of the most important climatic parameter. In this research, our main aim is to conduct a study across the country to forecast temperature through a relatively new method of forecasting approach named as sliced functional time series (SFTS). The monthly forecasts were obtained along with prediction intervals. These forecasts were compared with the forecasts obtained from autoregressive integrated moving average (ARIMA) and exponential smoothing state-space (ETS) models based on the accuracy measures and the length of prediction intervals to evaluate the performance of SFTS approach. Keywords: Climate,Functional Time Series,Sliced Functional Time Series, Temperature, Forecast, Forecast Accuracy
Uma análise da estratégia didática sala de aula invertida no processo ensino e aprendizagem de genética em turmas do ensino médio técnico integrado de uma escola pública
Authors: Santos Cristiano Lopes , Barros Amauri da Silva
Published: October 2020

Para a aprendizagem de genética com a metodologia ativa sala de aula invertida, o aluno estuda o conteúdo em casa e, na escola, esclarece as dúvidas com o professor. Dessa maneira, tivemos como questionamento: quais os pontos positivos e negativos na aprendizagem do conteúdo de genética através da implementação da sala de aula invertida como estratégia de ensino? Assim, objetivamos identificar, analisar e avaliar os benefícios e as dificuldades encontradas na aplicação da metodologia e, dessa forma, contribuir na orientação dos professores de biologia que desejarem aplicar essa estratégia didática na aprendizagem do conteúdo de genética. Realizamos uma análise qualitativa dos dados, a partir da coleta através da aplicação de questionários e dos registros no diário de bordo. A pesquisa demostrou que a sala de aula invertida permite um aumento na quantidade de questionamentos pelos estudantes e confirmou que sem atividades bem construídas e um processo avaliativo diversificado e bem estruturado, o sucesso da aplicação da metodologia será comprometido.
Using rapid point-of-care tests to inform antibiotic choice to mitigate drug resistance in gonorrhoea
Authors: Vegvari Carolin , Grad Yonatan H , White Peter J , Didelot Xavier , Whittles Lilith K , Scangarella-Oman Nicole E , Mitrani-Gold Fanny S , Dumont Etienne , Perry Caroline R , Gilchrist Kim , Hossain Mohammad , Mortimer Tatum D , Anderson Roy M , Gardiner David
Published: October 2020

Background

The first cases of extensively drug resistant gonorrhoea were recorded in the United Kingdom in 2018. There is a public health need for strategies on how to deploy existing and novel antibiotics to minimise the risk of resistance development. As rapid point-of-care tests (POCTs) to predict susceptibility are coming to clinical use, coupling the introduction of an antibiotic with diagnostics that can slow resistance emergence may offer a novel paradigm for maximising antibiotic benefits. Gepotidacin is a novel antibiotic with known resistance and resistance-predisposing mutations. In particular, a mutation that confers resistance to ciprofloxacin acts as the ‘stepping-stone’ mutation to gepotidacin resistance.

Aim

To investigate how POCTs detecting Neisseria gonorrhoeae resistance mutations for ciprofloxacin and gepotidacin can be used to minimise the risk of resistance development to gepotidacin.

Methods

We use individual-based stochastic simulations to formally investigate the aim.

Results

The level of testing needed to reduce the risk of resistance development depends on the mutation rate under treatment and the prevalence of stepping-stone mutations. A POCT is most effective if the mutation rate under antibiotic treatment is no more than two orders of magnitude above the mutation rate without treatment and the prevalence of stepping-stone mutations is 1–13%.

Conclusion

Mutation frequencies and rates should be considered when estimating the POCT usage required to reduce the risk of resistance development in a given population. Molecular POCTs for resistance mutations and stepping-stone mutations to resistance are likely to become important tools in antibiotic stewardship.
A suspected insulinoma with the unexpected histopathological finding of a nesidioblastosis – A case report and literature review
Authors:   1Department of Surgical Oncology and Oncology, Millenium Medical Center, Veracruz, México. 2Department of Gastrointestinal and Laparoscopic Surgery, Hospital Puebla, Puebla, México.  3Department of Endocrinology, Hospital Puebla, Puebla, México. 4Department of Pathology, Hospital Puebla, Puebla, México. 5Departament of Experimental Immunology, Benemérita Universidad Autónoma de Puebla, Puebla, México.
Published: October 2020

Introduction: Nesidioblastosis is a hyperplasia of the beta cells that causes persistent hyperinsulinemic hypoglycemia, unfortunately, it is difficult to diagnose through imaging studies. Case presentation: A 68-year-old woman with palpitations, diaphoresis, dizziness and alterations in the level of consciousness that improve with food intake. Laboratories: glucose 35.0 mg/dl, insulin 12.5 mUI/ml, proinsulin 14.1 pmol/L and peptide C 2.55 ng/ml. Octreoscan reveals an abnormal epigastric uptake area and the tomography shows a focal hypervascular lesion in pancreatic body of 12×11 mm. A distal pancreatectomy was performed without palpating the tumor in transoperative period, and a diffuse nesiodioblastosis was reported in the histopathological study. The patient persists with hypoglycemia and an additional pancreatic resection was performed, resecting 90% of the organ. Although an insulinoma was not located in the piece, an area surrounded by connective tissue was observed where islet hyperplasia was more accentuated. Discussion: The pathophysiology of nesidioblastosis is unknown, its main differential diagnosis is insulinoma and this should be suspected when the tumor can not be identified. Most agree that a pancreatectomy that involves 60-80% of the total organ can control glucose levels with low risk of diabetes and pancreatic insufficiency. Conclusion: The nesidioblastosis should be suspected when a hyperinsulinemic hypoglycemia is difficult to control and when a tumor can not be identified. The extension of the pancreatectomy should be individualized and if an insulinoma is not localized and a nesidioblastosis is suspected, an intraoperative histopathological examination with frozen section evaluation for the margins could determine the extent of pancreatectomy.