Module Research Articles

Thyroid Ultrasound Image Database and Marker Mask Inpainting Method for Research and Development

Objective: The main objective of this study is to build a rich and high-quality thyroid ultrasound image database (TUD) for computer-aided diagnosis (CAD) systems to support accurate diagnosis and prognostic modeling of thyroid disorders. In addition, most of the raw thyroid ultrasound images contain artificial markers, which seriously affect the robustness of CAD systems due to their strong prior location information. Therefore, a Marker Mask Inpainting (MMI) method is proposed to erase artificial markers and improve image quality. Methods: First, a set of thyroid ultrasound images are collected from the General Hospital of the Northern Theater Command. Then, two modules are designed in MMI, namely Marker Detection Module (MD) and Marker Erasure Module (ME). The MD module detects all markers in the image and stores them into a binary mask. According to the binary mask, the ME module erases the markers and generates a unmarked image. Finally, we build a new thyroid ultrasound image database (TUD) based on the marked images and the unmarked images. TUD is carefully annotated and statistically analyzed by professional physicians to ensure accuracy and consistency. Moreover, several normal thyroid gland images and some ancillary information about benign and malignant nodules are provided. Results: Several typical segmentation models are evaluated on TUD. The experimental results show that our TUD can facilitate the development of more accurate CAD systems for the analysis of thyroid nodule-related lesions in ultrasound images. Meanwhile, the effectiveness of our MMI is demonstrated by quantitative experiments. Conclusion: A rich and high-quality resource TUD is built, which promotes the development of more effective diagnostic and treatment methods to thyroid diseases. Furthermore, MMI for erasing artificial markers and generating unmarked images is proposed to improve the quality of thyroid ultrasound images. Our TUD are available at https://github.com/NEU-LX/TUD-Datebase.

Исследование эффективности применения электрохимического модуля генерации ферратов при очистке сточных вод мясоперерабатывающих предприятий

The article describes the complex electrochemical technology of wastewater treatment of a meat processing plant. In the process of water treatment, sequential processing takes place in an electrochemical module with a graphite anode, an electrochemical mo dule with an iron anode and exposure in a maturation and averaging chamber. It is proved that in a module with an iron anode, the generation of ferrates is observed, which simultaneously perform the functions of a mild oxidizer, coagulant and corrosion inh ibitor of steel.

P‐102: Explainable AI Approach for MOD Outliers in FAB to MOD Process

Display panels manufactured in the FAB process are assembled with various films and components in the module (MOD) process, and their final quality is a result of accumulated the quality of hundreds of preceding processes. Due to these limitations, it is hard to analyze the cause of MOD's outliers relevant to the FAB process and much time and money are consumed to maintain the cause process to eliminate MOD outliers. Therefore, we propose a new explainable AI (XAI) approach to detect and improve the module process's outliers by finding the correlation between FAB and MOD in this paper. The proposed approach was verified for MOD outlier cases in the real world's OLED development and manufacturing process. As a result, it confirmed 96.8% of the average accuracy for classifications. This approach presents the FAB factor that caused MOD's outliers based on the correlation between the MOD and the FAB.

Novel insights into the mechanisms of hard exudate in diabetic retinopathy: Findings of serum lipidomic and metabolomics profiling

ObjectiveRetinal hard exudates (HEs) result from lipoproteins leaking from capillaries into extracellular retinal space, and are related to decreased visual acuity in diabetic retinopathy (DR). This study aims to identify differential serum lipids and metabolites associated with HEs. Materials and methodsA cross-sectional study was conducted Jul 2017 ∼ Mar 2021. We assessed the amount of HEs using standard ETDRS photographs for comparison. HEs severity was rated as “no or questionable”, “moderate” or “severe”. Serum samples were processed via high coverage pseudotargeted lipidomics analysis, and untargeted liquid chromatography coupled with time-of-flight mass spectrometry for metabolomics study, respectively. Weighted gene co-expression network analyses, partial least squares-discriminant analysis, and multi-receiver operating characteristic analysis were applied. ResultsA total of 167 patients were included. Discovery group: 116 eyes (116 patients). Validation group: 51 eyes (51 patients). 888 lipids were detected and divided into 18 modules (MEs), ME1 ∼ ME18. Lipids in ME1 significantly increased in patients with HEs in DR (NPDR and PDR combined), NPDR, and PDR, respectively. ME1 enriched to triglycerides (29%), ceramides (17%), and N-acylethanolamines (15%). A combined model of 20 lipids was the best to discriminate HEs, area under curve = 0.804, 95% confidence interval = 0.674–0.916. For metabolomics analysis, 19 metabolites and 13 pathways associated with HEs were identified. Taurine and hypotaurine metabolism, cysteine and methionine metabolism were closely related to HEs (P < 0.01). ConclusionsThe lipids and metabolites identified may serve as prediction biomarkers in the early stage of HEs in DR.

Denoising image by matrix factorization in U-shaped convolutional neural network

Image denoising requires both spatial details and global contextualized information to recover a clean version from the deteriorative one. Previous deep convolution networks usually focus on modeling the local feature and stacked convolution blocks to expand the receptive field, which can catch the long-distance dependencies. However, contrary to the expectation, the extracted local feature incapacity recovers the global details by traditional convolution while the stacked blocks hinder the information flow. To tackle these issues, we introduce the Matrix Factorization Denoising Module (MD) to model the interrelationship between the global context aggregating process and the reconstructed process to attain the context details. Besides, we redesign a new basic block to ease the information flow and maintain the network performance. In addition, we conceive the Feature Fusion Module (FFU) to fuse the information from the different sources. Inspired by the multi-stage progressive restoration architecture, we adopt two-stage convolution branches progressively reconstructing the denoised image. In this paper, we propose an original and efficient neural convolution network dubbed MFU. Experimental results on various image denoising datasets: SIDD, DND, and synthetic Gaussian noise datasets show that our MFU can produce comparable visual quality and accuracy results with state-of-the-art methods.

Enochs’ conjecture for small precovering classes of modules

Enochs’ conjecture asserts that each covering class of modules (over any fixed ring) has to be closed under direct limits. Although various special cases of the conjecture have been verified, the conjecture remains open in its full generality. In this short paper, we prove the validity of the conjecture for small precovering classes, i.e., the classes of the form Add(M) where M is any module, under a mild additional set-theoretic assumption which ensures that there are enough non-reflecting stationary sets. We even show that M has a perfect decomposition if Add(M) is a covering class. Finally, the additional set-theoretic assumption is shown to be redundant if there exists an n < ω such that M decomposes into a direct sum of אn-generated mo dules.

Tailoring of new Ni(II), Hg(II) and UO2(II)–hydrazide complexes: characterization, studies in-vitro and in-silico as well as the Hartree-Fock modeling

A new hydrazide ligand was prepared to synthesize Ni(II), Hg(II) and UO2(II) complexes, which elucidated by all possible tools. Accordingly, 1M:2L molar ratio was suggested for Ni(II) and Hg(II) complexes, while UO2(II) complex close to 1:1 ratio. The ligand binds as a bidentate or tridentate mode either as a monobasic via deprotonation of azomethine group or as a neutral with Hg(II) complex. A square-planer geometry was suggested for [Ni(L)2], while the other complexes reveal octahedral geometry. The antimicrobial screening was performed as well as the antioxidant and cytotoxic activity test towards Ehrlich ascites cells. The ligand and its Ni(II) complex produce a notable inhibition for microorganisms, while their antioxidant and cytotoxicity are up to the standards themselves. The DFT/B3LYP and Hartree-Fock (HF) methods were used to optimize the structures under suitable basis sets to obtain essential parameters and 3D-maps. Utilizing Swiss-ADME link reveals the positive response of the ligand to blood brain barrier and human intestinal absorption. Moreover, other silico tests were performed via Pharmacophore and Molecular Operating Environmental module (MOE) against different proteins. Finally, the agreement between vitro and silico results was noticed with the ligand and its Ni(II)complex.

A Spatio-Temporal Motion Network for Action Recognition Based on Spatial Attention.

Temporal modeling is the key for action recognition in videos, but traditional 2D CNNs do not capture temporal relationships well. 3D CNNs can achieve good performance, but are computationally intensive and not well practiced on existing devices. Based on these problems, we design a generic and effective module called spatio-temporal motion network (SMNet). SMNet maintains the complexity of 2D and reduces the computational effort of the algorithm while achieving performance comparable to 3D CNNs. SMNet contains a spatio-temporal excitation module (SE) and a motion excitation module (ME). The SE module uses group convolution to fuse temporal information to reduce the number of parameters in the network, and uses spatial attention to extract spatial information. The ME module uses the difference between adjacent frames to extract feature-level motion patterns between adjacent frames, which can effectively encode motion features and help identify actions efficiently. We use ResNet-50 as the backbone network and insert SMNet into the residual blocks to form a simple and effective action network. The experiment results on three datasets, namely Something-Something V1, Something-Something V2, and Kinetics-400, show that it out performs state-of-the-arts motion recognition networks.

Synthesis, characterization, biological studies, molecular docking and theoretical calculation of some transition metal complexes with new azo dye 2-[2′-(6-methoxybenzothiazolyl)azo]-3-methyl-4-nitrophenol

Ag(I), Pt(IV), and Au(III) metal complexes of novel ligand 2-[2′-(6-methoxybenzothiazolyl)azo]-3-methyl-4-nitro phenol (6-MBTAMN) have been synthesized and characterized by 1H NMR, 13C NMR, FT-IR, UV–vis, Mass spectra, CHNS, atomic absorption spectrophotometry, molar conductance and magnetic susceptibility. Results confirmed that the ligand coordinates the metal ion to form a mononuclear complex via (N, N, O) atoms of the azomethine group, azo group, and phenolic group, respectively. Tetrahedral geometry is suggested for Ag(I)-Complex, an octahedral geometry is proposed for Pt(IV)-Complex, and a square planar geometry is suggested for Au(III)-Complex. The density functional theory (DFT) was used to calculate significant parameters for ligand and metal complexes, including optimization energy, HOMO, and LUMO. Newly synthesized azo compounds have also been demonstrated to have antimicrobial properties against bacteria and fungi. The complexes are more effective against bacteria than standard antimicrobials (Novobiocin and Cycloheximide), but less effective against fungi. Based on in silico molecular docking, the study demonstrated that the azo fused compounds interact critically with the androgen receptor prostate cancer mutant H874Y ligand binding domain bound with testosterone and an AR 20–30 peptide (ART) using the Molecular Operating Environment module (MOE). Further, the antioxidant activity of novel azo compounds was evaluated using DPPH radical scavenging, which demonstrated that Ag (I) metal complex possess potent antioxidant properties. The cytotoxic abilities of selected compounds by MTT [3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide] assays against PC3 (human prostate adenocarcinoma) and HUVECs (normal human umbilical vein endothelial cells).

Estructura espacial con elementos a cortante desarrollables

En este artículo se revisita la clásica cercha espacial de doble pared reemplazando las diagonales por módulos poliédricos curvos de paredes delgadas. Las mejoras esperadas son tanto tecnológicas como mecánicas. Los nodos complejos de 8 ramas se dividen en una conexión de dos miembros continuos superpuestos y una conexión lineal entre las barras y los bordes del poliedro. La curvatura en las caras y bordes de los módulos introduce resistencia por forma y estabiliza los miembros frente al pandeo. La optimización global de la estructura se realiza mediante un proceso de búsqueda de forma basado en la parametrización individual de los módulos.Finalmente, se lleva a cabo una validación experimental mediante la fabricación y prueba de un prototipo a escala real (de 6 x 6 m aproximadamente).

Analysis and feasibility of 50 kWp self-consumption solar photovoltaic system for four Senegalese typical climatic zones using PVsyst software

This study investigates analysis and feasibility of 50 kWp self-consumption photovoltaic system used for supplying the electrical load of military bases in Senegal. It refers to a simulation of performance photovoltaic system in four Senegalese typical climatic zones. In constructing the 50 kWp self-consumption photovoltaic simulation, the number of modules is 144, the power of each module is 280 Wp, 18 modules are in series and 8 in strings. Also, two solar SMA technology of 20 kWp with a voltage range of 230 to 800 V are used, and the simulation is done by means of Pvsyst software 6.81. Solar and ambient temperature data sets from Helioclim-3 database corrected by observations are used for this performance study. The variability of performance system in the four climate typical zones are analyzed from the simulations results. This work includes evaluation of the effective energy produced by the photovoltaic system, consumption and other components related to PV production for each climatic region. The 50 kWp PV array of electricity produced at Dakar (69.8 MWh/year), St Louis (64.9 MWh/year), Tambacounda (62.7 MWh/year) and Ziguinchor (59.3 MWh/year) is entirely self-consumed. The annual performance ratio are 0.796 at Dakar, 0.795 at St Louis, 0.775 at Tambacounda and 0.792 at Ziguinchor. The results obtained follow the variability of the solar resource. This variability is often impacted by the effect of temperature and other local climatic conditions such as the number of aerosols and the diversity of seasons. The solar radiation is more important at St Louis than at Dakar but the Dakar region is less impacted by these factors, making the results more important at Dakar. As for the Tambacounda and Ziguinchor regions, the solar resource is less important, likely due to effect of elevated PV panel temperatures and a longer rainy season in these two zones. To know the magnitude of a solar photovoltaic installation, it is good to size for each locality to be able to deduce a larger production. Key words: Self-consumption, Pvsyst software, climatic zones, Helioclim-3, performance ratio.

Effect of Special Study Module of Entrapment Neuropathy on Learning: Experimental Study

Amaç: Akdeniz Üniversitesi Tıp Fakültesi, öğrencilerinin bağımsız öğrenme becerilerinin gelişmesine katkı sağlayan farklı eğitim yöntemleri kullanmaktadır. Öğrenci merkezli ve kendi kendine öğrenmeyi hedefleyen eğitim yöntemleri arasında yer alan uygulamalardan biri de özel çalışma modülleridir (ÖÇM). ÖÇM, öğrencilere seçtikleri bir alanda derinlemesine çalışma olanağı sağlamaktadır. Mezuniyet öncesi tıp eğitimine yönelik bilgi ve becerinin gerçekleşmesinde özel çalışma modülleri önemli bir role sahiptir. ÖÇM uygulamalarında konu alanlarında farklı sınıflamalar mevcuttur. Genel olarak çekirdek müfredata dayalı konular, çekirdek müfredat dışı olup tıpla ilgili konular ya da tıp dışı konuları kapsamaktadır. Bu çalışmada modüldeki öğrencilerin aktif bir öğrenme yöntemi ile verilen “Tuzak Nöropati” modülü sonucunda edindikleri bilginin kalıcılığının test edilmesi amaçlanmıştır. Gereç ve Yöntem: Bu Çalışmada, “Tuzak Nöropatiler” konulu ÖÇM uygulaması dönem II öğrencileriyle gerçekleştirilmiştir (n=42). Öğrencilere kontrol gruplu deneysel desen modeli uygulamak üzere ön test, son test ve kalıcılık testi uygulanmıştır. Kontrol grubu ise modülde yer almayan gönüllü öğrencilerden seçilmiştir (n=21). Deney ve kontrol grubuna ait ön test, son test ve kalıcılık testine ait değerler arası fark test edilmiştir. Test puanları karşılaştırılarak istatistiksel analizleri SPSS programında yapılmıştır. Bulgular: Çalışmanın başında tuzak nöropatiler hakkındaki bilgi düzeyinin deney ve kontrol grubunda benzer düzeylerde olduğu tespit edilmiştir (p=0,11,p&amp;gt;0,05). Deney öğrencilerinin son test bilgi düzeylerinin kontrol grubuna göre daha yüksek düzeylerde olduğu görülmüştür (p=0,01,p&amp;lt;0,05). Deney grubu öğrencilerinin son test bilgi düzeylerinin ön testlere göre daha yüksek olduğu görülmüştür (p=0,01,p&amp;lt;0,05). Deney grubu öğrencilerinin bilgi düzeylerinin anlamlı şekilde gelişim gösterdiği ve tespit edilen bu gelişim düzeyinin uygulamadan 3 ay sonrasında ise başlangıç düzeyine göre kalıcı şekilde korunduğu tespit edilmiştir (p=0,01,p&amp;lt;0,05). Sonuç: Tuzak Nöropati ÖÇM’sinin sonunda öğrencilerin bilgi düzeyleri kontrol grubuna göre istatistiksel olarak anlamlı şekilde yükseldiği ve bu gelişimin 3 ay sonrasında da korunabildiği tespit edilmiştir. Küçük gruplarla yapılan interaktif çalışmaların bilgi düzeyi üzerinde olumlu etkisinin olduğu görüşündeyiz.

HEAT TRANSFER ANALYSIS OF HEAT SINK MODULES FOR HIGH-POWER LED EQUIPMENT

HEAT TRANSFER ANALYSIS OF HEAT SINK MODULES FOR HIGH-POWER LED EQUIPMENT

Development and application of a fundus image quality assessment system based on computer vision technology

Objective: To develop a fundus image quality assessment system based on computer vision technology and to verify its accuracy by comparing the results of artificial discrimination and using this system. Methods: The process of image evaluation was divided into four modules: fundus image preprocessing, fundus image quality evaluation, fundus image content detection and evaluation result output. The system was designed to automatically evaluate the image quality of each fundus image, identify the optic disc and macula, and judge whether the image was qualified or not according to the image quality discrimination rules. A total of 2 397 fundus images of 787 type 2 diabetes patients were selected as the test data set. The average age of the patients, including 384 males and 403 females, was (69.65±19.09) years old. The images were taken by the staff of community health service centers in Shanghai with a fundus camera. The fundus image quality assessment system was used to conduct quality control and classification of the data set. At the same time, 12 professional fundus picture readers were employed to conduct manual quality control and classification of this data set. The system quality control results and artificial quality discrimination results were compared and analyzed. Results: The fundus image quality assessment system automatically recognized left and right eyes and eye positions on the input fundus images. The quality control interface included four indicator lights, which respectively corresponded to the images with the optic disc or macula as the center of the left or right eye. Evaluation of each fundus image was completed within 1 second, and the results were automatically displayed on the user interface. The 2 397 fundus photos were identified manually as 1 846 qualified photos and 551 unqualified photos. Among the unqualified images, 62 (11.27%) were too dark, 51 (9.27%) were too bright, 59 (10.73%) were not clear in the macular area, 36 (6.54%) showed no macula or optic disc, 125 (22.73%) could not present the fundus structure, 175 (31.82%) were blurred, and 42 (7.64%) were blocked. The results of the system and manual assessment were consistent in 1 788 qualified images (96.86%) and 550 unqualified images (99.82%), with an overall consistency rate of 97.54%. Conclusion: The fundus image quality assessment system can achieve highly consistent results with the professional judgment of ophthalmologists and has the characteristics of objectivity. (Chin J Ophthalmol, 2020, 56:920-927).

GRADED w-NOETHERIAN MODULES OVER GRADED RINGS

GRADED w-NOETHERIAN MODULES OVER GRADED RINGS

Providing Quick Fastening of the Functional Module to the Frame of Special Equipment to Maintain the Combat Readiness of Armored Weapons

В соответствии с концептуальными подходами к разработке перспективных комплексов специальной техники их дальнейшее развитие должно осуществляться на основе создания универсально-модульных мастерских на типовых унифицированных шасси за счет конструктивного и функционального сопряжения специального технологического оборудования с элементами шасси без изменения компоновки и конструкции.В ходе анализа исследований в этой области выявлен ряд вариантов решения данной задачи, каждый из которых обладает своими достоинствами и недостатками: применение стремянок, прижимающих кузов к раме автомобиля посредством гаечного резьбового соединения через амортизационный узел и устройства крепления; перестановка автомобильного кузова-фургона с шасси одного на другое транспортное средство, автономный грузовой модуль с кузовом-фургоном, оснащенный системой самопогрузки-выгрузки, и др.Представлена конструкция устройства быстрого крепления функционального модуля на раме автомобиля, применение которого на специальной технике для обеспечения боеготовности бронетанкового вооружения обеспечивает быстрое и надежное крепление функционального модуля на раме базового шасси. Работоспособность конструкции подтверждена машинным экспериментом, проведенным по разработанным алгоритмам методик компоновочного расчета комплекса, реализованных в виде самостоятельных программ узкого назначения, каждая из которых может транслироваться, компилироваться и записываться на внешний носитель. Программы составлены с использованием стандартного математического обеспечения и могут быть в зависимости от запросов реализованы в виде пакета прикладных программ с различной последовательностью их выполнения. Построенные алгоритмы позволяют использовать для компоновочных расчетов вычислительные комплексы и значительно их упрощают. Жесткостные, инерционные и демпфирующие свойства системы определяются из характеристик отдельных элементов, подсистем и подконструкций путем одинаковых автоматических операций матричной алгебры.Реализация обеспечения взаимозаменяемости шасси транспортного средства с возможностью быстрой замены его функционального модуля позволит помимо решения задачи унификации по составным частям обеспечить полную взаимозаменяемость шасси для различных типов специальной техники, а также формировать ее оптимальный состав для обеспечения боеготовности современных объектов бронетанкового вооружения.

RANCANG BANGUN LAMPU PORTABLE OTOMATIS MENGGUNAKAN RTC BERBASIS ARDUINO

In everyday life, lighting is one of the basic needs, both in households, offices, and large industries. Therefore, the availability of lamps is very important. However, it is necessary to have a wise attitude in the use of this energy source of lighting. In daily activities at home, for example, many residents often forget to turn off the lights in the morning, when residents travel out of town, setting the lights on and off is a problem in itself, if the lights are not turned off it will result in a waste of electrical energy, but if it is turned off then at night it will be dark for days because the householder is not there. This often happens especially to urban residents. Therefore, automation is needed in regulating the use of electrical energy in lamps. By paying attention to this condition, the writer created an idea for a portable lamp that can be set on and off automatically and for the time it can be adjusted as needed. This portable lamp uses a voltage source from a battery so it can reduce waste of electricity energy from PLN. This automatic portable lamp is equipped with an Arduino Nano which functions as a lamp control controller, a Real Time Clock (RTC) module which functions as a timer to regulate the on and off lights, and a relay that functions as an automatic switch to turn on and turn off the lights according to the time read. on the RTC. The advantages of this portable lamp are in terms of practical packaging, it can be moved and placed anywhere as needed because it does not require an electricity connection from PLN. From the results of usage testing, this lamp can be used for 2-3 days with an active duration of 8 hours, so users don't have to worry about running out of energy sources.

Convergence Study on Fabrication and Plasma Module Process Technology of ReRAM Device for Neuromorphic Based

Convergence Study on Fabrication and Plasma Module Process Technology of ReRAM Device for Neuromorphic Based

Infrared target detection and recognition in complex scene

The mainstream target detection network has outstanding target detection capability in high quality RGB images, but for infrared images with poor resolution, the target detection performance decreases significantly. In order to improve the performance of infrared target detection in complex scene, the following measures are adopted in this paper: Firstly, by referring to the field adaption and adopting the appropriate infrared image preprocessing means, the infrared image is closer to the RGB image, so that the mainstream target detection network can further improve the detection accuracy. Secondly, based on the one-stage target detection network YOLOv3, the algorithm replaces the original MSE loss function with the GIOU loss function. It is verified by experiments that the detection accuracy on the open infrared data set the FLIR is significantly improved. Thirdly, in view of the problem of large target size span existing in FLIR dataset, the SPP module is added with reference to the idea of the spatial pyramid to enrich the expression ability of feature map, expand the receptive field of feature map, and further improve the accuracy of target detection.

Abelian Category of Weakly Cofinite Modules and Local Cohomology

Let R be a commutative Noetherian ring, $${\mathfrak {a}}$$ an ideal of R, and M an R-module. We prove that the category of $${\mathfrak {a}}$$ -weakly cofinite modules is a Melkersson subcategory of R-modules whenever $$\dim R\le 1$$ and is an Abelian subcategory whenever $$\dim R\le 2$$ . We also prove that if $$(R,{\mathfrak {m}})$$ is a local ring with $$\dim R/{\mathfrak {a}}\le 2$$ and $${{\,\mathrm{Supp}\,}}_R(M)\subseteq {{\,\mathrm{V}\,}}({\mathfrak {a}})$$ , then M is $${\mathfrak {a}}$$ -weakly cofinite if (and only if) $${{\,\mathrm{Hom}\,}}_R(R/{\mathfrak {a}}, M)$$ , $${{\,\mathrm{Ext}\,}}_{R}^{1}(R/{\mathfrak {a}}, M)$$ and $${{\,\mathrm{Ext}\,}}_{R}^{2}(R/{\mathfrak {a}}, M)$$ are weakly Laskerian. In addition, we prove that if $$(R,{\mathfrak {m}})$$ is a local ring with $$\dim R/{\mathfrak {a}}\le 2$$ and $$n\in \mathbb {N}_0$$ , such that $${{{\,\mathrm{Ext}\,}}}^{i}_R(R/{\mathfrak {a}},M)$$ is weakly Laskerian for all i, then $${{\,\mathrm{H}\,}}_{{\mathfrak {a}}}^{i}(M)$$ is $${\mathfrak {a}}$$ -weakly cofinite for all i if (and only if) $${{\,\mathrm{Hom}\,}}_R(R/{\mathfrak {a}}, {{\,\mathrm{H}\,}}_{{\mathfrak {a}}}^{i}(M))$$ is weakly Laskerian for all i.